Prices and heterogeneous search costs
Luis Moraga-Gonzalez, Jose; Sandor, Zsolt; Wildenbeest, Matthijs R.
2017-01-01
We study price formation in a model of consumer search for differentiated products in which consumers have heterogeneous search costs. We provide conditions under which a pure-strategy symmetric Nash equilibrium exists and is unique. Search costs affect two margins-the intensive search margin (or se
Essays on price dynamics and consumer search
Lewis, Matthew Stephen
It has been documented that retail gasoline prices respond more quickly to increases in wholesale price than to decreases. However, there is very little theoretical or empirical evidence identifying the market characteristics responsible for this behavior. Chapter 2 presents a new theoretical model of asymmetric adjustment that empirically matches observed retail gasoline price behavior better than previously suggested explanations. I develop a "reference price" consumer search model that assumes consumers' expectations of prices are based on prices observed during previous purchases. The model predicts that consumers search less when prices are falling. This reduced search results in higher profit margins and therefore causes a slower price response to cost decreases than to cost increases. Chapter 3 discusses the robustness of some of the important assumptions of the reference price search model, and describes the effects of altering these assumptions. Chapter 4 develops testable implications that distinguish my model from two alternative explanations of asymmetric adjustment. The first is a model in which firms temporarily collude using past prices as a focal price. The second theory suggests that increases in wholesale cost volatility reduce consumer search behavior. Using a panel of gas station prices, I estimate the response pattern of prices to a change in costs. Estimates are consistent with the predictions of the reference price search model and contradict the previously suggested explanations of asymmetric price adjustment. Chapter 5 examines the empirical fact that price response varies depending on the current level of profit margins. This fact is contrasted with the common empirical observation that response differs based on the direction of the change in cost. I go on to document that this relationship between price response and margins is observed in gasoline markets across the country.
Internet Resource Pricing Models, Mechanisms, and Methods
He, Huan; Liu, Ying
2011-01-01
With the fast development of video and voice network applications, CDN (Content Distribution Networks) and P2P (Peer-to-Peer) content distribution technologies have gradually matured. How to effectively use Internet resources thus has attracted more and more attentions. For the study of resource pricing, a whole pricing strategy containing pricing models, mechanisms and methods covers all the related topics. We first introduce three basic Internet resource pricing models through an Internet cost analysis. Then, with the evolution of service types, we introduce several corresponding mechanisms which can ensure pricing implementation and resource allocation. On network resource pricing methods, we discuss the utility optimization in economics, and emphasize two classes of pricing methods (including system optimization and entities' strategic optimizations). Finally, we conclude the paper and forecast the research direction on pricing strategy which is applicable to novel service situation in the near future.
Consumer Search and Oligopolistic Pricing: a theoretical and empirical inquiry
M.R. Wildenbeest (Matthijs)
2007-01-01
textabstractIn real world markets price information is costly to acquire. This observation has led to an important research program in economics aimed at understanding how firms compete in the presence of consumer search. In spite of the substantial amount of theoretical work on the subject, the att
Ketabi, Abbas; Alibabaee, Ahmad [Department of Electrical Engineering, University of Kashan, Kashan (Iran); Feuillet, R. [Laboratoire d' Electrotechnique de Grenoble, INPG/ENSIEG, 38402 Saint Martin d' Heres, Cedex (France)
2010-07-15
Reactive power management is essential to transfer real energy and support power system security. Developing an accurate and feasible method for reactive power pricing is important in the electricity market. In conventional optimal power flow models the production cost of reactive power was ignored. In this paper, the production cost of reactive power and investment cost of capacitor banks were included into the objective function of the OPF problem. Then, using ant colony search algorithm, the optimal problem was solved. Marginal price theory was used for calculation of the cost of active and reactive power at each bus in competitive electric markets. Application of the proposed method on IEEE 14-bus system confirms its validity and effectiveness. Results from several case studies show clearly the effects of various factors on reactive power price. (author)
WEATHER DERIVATIVES: THE MOST COMMON PRICING AND VALUATION METHODS
Botos Horia Mircea
2013-07-01
Full Text Available In recent years , weather derivatives have become a common tool in risk management for many sectors. This has its roots in that there is no unique way to determine de value and price solutions that would be generally approved by market-participants, like in the case of the Black-Scholes formula for options on non-dividend-paying stocks is the source for a constant debate between academics and practitioners. One look for fair and truly correct prices, while the others search every-day applicable solutions. To be honest... this is somehow like alchemy. This paper has as purpose the examination of statistical characteristics of weather data, data clearing and filling techniques. The study will be referring to temperatures because that is the best analyzed phenomenon, being the most common. This was also heavily influenced by energy companies and energetic interests, because the degree days were of interest ever before weather derivatives were put for sale. Main ideas are explaining what ways of pricing and valuation are, put into perspective for this financial instrument, taking into consideration that the Black-Scholes Model is not suitable. Also here, we will present the pros and cons that we found for each method. The methods are: the Burn analysis, the index value simulation method (IVSM, the daily simulation method (DSM.On the hole, this paper wants to shed light the weather derivatives pricing methods a mix of insurance pricing and standard financial models. At the end we will prospect the discounting problem, by means of the Consumption based Capital Asset Pricing Model (CCAPM.
A Generation Pricing Method with Capacity Bidding
无
2001-01-01
Due to historic reasons China encounters some special difficulties in ESI (electricity system industry) restructuring. An easy and simple electricity value equivalent (es-EVE) method for day-ahead pool purchase pricing of China is therefore presented in this paper. The es-EVE method is different from two-part and one-part tariffs. It is more like the UK's method in form, but revised for China with some new concepts and procedure. The main contributions of it include: (1) Find two kinds of eigenvalue, namely EVEs, in an optimization model, (2) Define new concepts of virtual units and feasible region, (3) Twice merit orderings are employed successively to find marginal price. They are simple maximum and minimum comparison procedures and so on. The special economic significance of the method for China is discussed, and some suggestion for ESI restructuring based on es-EVE method are provided. A case study is offered at the end of the paper.
BASIC METHODS OF CLASSIFICATION AND CHARACTERISTICS OF METHODS OF PRICING IN UKRAINE
A. Boguslavskiy
2014-01-01
The article provided definitions and shows the need to use different methods of pricing of enterprises. Exposed the reasons of the absence of a universal classification of pricing methods. The approaches of different authors to classify groups of pricing methods: 1) the cost method; 2) methods with a focus on competition; 3) methods for pricing based on demand, 4) pricing with a focus on maximum profit, 5) parametric methods, 6) pricing under risk and uncertainty, etc. An improved classificat...
Option Pricing Method in a Market Involving Interval Number Factors
无
2005-01-01
The method for pricing the option in a market with interval number factors is proposed. The no-arbitrage principle in the interval number valued market and the rule to judge the reasonability of a price interval are given. Using the method, the price interval where the riskless interest and the volatility under B-S setting is given. The price interval from binomial tree model when the key factors u, d, R are all interval numbers is also discussed.
75 FR 34074 - Postal Pricing Methods
2010-06-16
... the fact by applying a measure of price sensitivity (elasticity) to volumes actually mailed during the....\\6\\ Elliot's analysis applied price elasticities from the Postal Service's demand model to the...., September 19, 2002. Elasticity is a measure of the volume response to a price change. Roughly...
Efficient Option Pricing Methods Based on Fourier Series Expansions
Deng DING; Sio Chong U
2011-01-01
A novel option pricing method based on Fourier-cosine series expansion was proposed by Fang and Oosterlee. Developing their idea, three new option pricing methods based on Fourier, Fourier-cosine and Fourier-sine series expansions are presented in this paper, which are more efficient when the option prices are calculated with many strike prices. A series of numerical experiments under different exp-Lévy models are also given to compare these new methods with the Fang and Oosterlee's method and other methods.
Seccia Antonio
2017-01-01
Full Text Available The choice of a bottle of wine is affected by the presence of attributes that are searched by consumers and can be evaluated before the purchase. The aim of the paper is to analyze the effect of some search attributes on wine price variability applying the Hedonic Price Model. It allows explaining how the price of wine varies depending on its main quality attributes. The analysis has been based on a sample of wines made in Puglia, Italian region characterized by a tradition in wine production and consumption. Data have been collected from a wine guidebook considering the years 2008–2013. The study provided a measure of the market value of some search attributes for wines produced in Puglia. Attributes as alcoholic content, age and score given by experts, influence price variability allowing wines to obtain a premium price, such as the most known Protected Designation of Origin (PDO and some Protected Geographical Indication (PGI. The name of the variety seems not to have high influence with the exception of less known and locally grown varieties. Results may be of interest for marketers and policy makers of wine industry. Managerial implications could refer to the importance of differentiation strategies aimed to market segmentation and to the pricing strategy. Policymakers could also find interesting hints about the influence of the different appellations and the importance of minor autochthonous grape varieties.
Algorithmic Methods for Sponsored Search Advertising
Feldman, Jon
2008-01-01
Modern commercial Internet search engines display advertisements along side the search results in response to user queries. Such sponsored search relies on market mechanisms to elicit prices for these advertisements, making use of an auction among advertisers who bid in order to have their ads shown for specific keywords. We present an overview of the current systems for such auctions and also describe the underlying game-theoretic aspects. The game involves three parties--advertisers, the search engine, and search users--and we present example research directions that emphasize the role of each. The algorithms for bidding and pricing in these games use techniques from three mathematical areas: mechanism design, optimization, and statistical estimation. Finally, we present some challenges in sponsored search advertising.
BASIC METHODS OF CLASSIFICATION AND CHARACTERISTICS OF METHODS OF PRICING IN UKRAINE
A. Boguslavskiy
2014-12-01
Full Text Available The article provided definitions and shows the need to use different methods of pricing of enterprises. Exposed the reasons of the absence of a universal classification of pricing methods. The approaches of different authors to classify groups of pricing methods: 1 the cost method; 2 methods with a focus on competition; 3 methods for pricing based on demand, 4 pricing with a focus on maximum profit, 5 parametric methods, 6 pricing under risk and uncertainty, etc. An improved classification pricing methods with the release of the following groups: 1 the methods of cost pricing; 2 methods based on demand; 3 methods, based on competition; 4 microeconomic methods; 5 methods which are based on product life cycles; 6 methods, depending on economic conditions; 7 econometric and statistical techniques 8 Methods of transfer pricing; 9 methods in accordance with the terms of agreements; 10 Methods of assortment pricing; 11 combined methods of pricing and so on. The basic directions of use of combined methods of pricing and analysis of their possible use in Ukraine are shown.
A Market Pricing Method for Spectrum Allocation.
1980-03-01
74-42, July 1974. 3. Baumol, W. and Bradford, "Optimal Departures from Marginal Cost Pricing," American Economic Review , Vol. 60, June 1970, pp. 265...Vol. XII, October 1964, pp. 11-26. 16. Demsetz, H., "Toward a Theory of Property Rights," American Economic Review , Papers and Proceedings, Vol. LVII...34New Technology and Old Regulation in Radio Spectrum Management," American Economic Review , Papers and Proceedings, Vol. 56, May 1966, pp. 339-349
Assorted Methods of Making of Pricing Decisions in an Enterprise
Wnorowski Henryk
2014-08-01
Full Text Available Decisions concerning price development are best visible in view of their direct impact on the market activities of the company and the general level of profitability. In every activity, the success is measured by an excess of sales revenue over the costs of used resources. In an ideal case, a determined price provides the highest margin resulting from an analysis of the sales volume, takes into consideration the customer's evaluation of the product/service, and allows to react to competitive threats and to fend off the competition's attacks. There is no single universal way to develop prices for various enterprise types, regardless of the conditions of demand, the specific character of the sector they operate in, or the competitive situation, even if we assume that the enterprise has only one goal of activity. That's why, Author recommends three price determination methods. The ways of price determination presented in this article are just the first step on the way to reach the optimal prices. The prices determined in such way, as well as product or service prices already functioning in the market, are subject to modification depending on the assumed goals, taking into consideration the character of demand for a given commodity and the behaviour of the competition.
Going where the Ad leads you: On High Advertised Prices and Search where to buy
M.C.W. Janssen (Maarten); M.C. Non (Marielle)
2006-01-01
textabstractThe search literature assumes that consumers know which firms sell products they are looking for, but are unaware of the particular variety and the prices at which each firm sells. In this paper, we consider the situation where consumers are uncertain whether a firm carries the product a
Going where the Ad leads you: On High Advertised Prices and Search where to buy
M.C.W. Janssen (Maarten); M.C. Non (Marielle)
2006-01-01
textabstractThe search literature assumes that consumers know which firms sell products they are looking for, but are unaware of the particular variety and the prices at which each firm sells. In this paper, we consider the situation where consumers are uncertain whether a firm carries the product a
Switching health insurers: the role of price, quality and consumer information search
L.H.H.M. Boonen (Lieke); T. Laske-Aldershof (Trea); F.T. Schut (Erik)
2015-01-01
markdownabstract__Abstract__ We examine the impact of price, service quality and information search on people’s propensity to switch health insurers in the competitive Dutch health insurance market. Using panel data from annual household surveys and data on health insurers’ premiums
Switching health insurers: the role of price, quality and consumer information search
L.H.H.M. Boonen (Lieke); T. Laske-Aldershof (Trea); F.T. Schut (Erik)
2015-01-01
markdownabstract__Abstract__ We examine the impact of price, service quality and information search on people’s propensity to switch health insurers in the competitive Dutch health insurance market. Using panel data from annual household surveys and data on health insurers’ premiums and quality rat
New Methods with Capped Options for Pricing American Options
Dongya Deng
2014-01-01
Full Text Available We propose two new methods: improved binomial methods and improved least square MonteCarlo methods (LSM, for pricing American options. These two methods are developed using the nice capped options which have closed-form formulas. Numerical examples are provided to verify that these two new methods are pretty efficient.
Switching health insurers: the role of price, quality and consumer information search.
Boonen, Lieke H H M; Laske-Aldershof, Trea; Schut, Frederik T
2016-04-01
We examine the impact of price, service quality and information search on people's propensity to switch health insurers in the competitive Dutch health insurance market. Using panel data from annual household surveys and data on health insurers' premiums and quality ratings over the period 2006-2012, we estimate a random effects logit model of people's switching decisions. We find that switching propensities depend on health plan price and quality, and on people's age, health, education and having supplementary or group insurance. Young people (18-35 years) are more sensitive to price, whereas older people are more sensitive to quality. Searching for health plan information has a much stronger impact on peoples' sensitivity to price than to service quality. In addition, searching for health plan information has a stronger impact on the switching propensity of higher than lower educated people, suggesting that higher educated people make better use of available health plan information. Finally, having supplementary insurance significantly reduces older people's switching propensity.
Monte Carlo methods for pricing ﬁnancial options
N Bolia; S Juneja
2005-04-01
Pricing ﬁnancial options is amongst the most important and challenging problems in the modern ﬁnancial industry. Except in the simplest cases, the prices of options do not have a simple closed form solution and efﬁcient computational methods are needed to determine them. Monte Carlo methods have increasingly become a popular computational tool to price complex ﬁnancial options, especially when the underlying space of assets has a large dimensionality, as the performance of other numerical methods typically suffer from the ‘curse of dimensionality’. However, even Monte-Carlo techniques can be quite slow as the problem-size increases, motivating research in variance reduction techniques to increase the efﬁciency of the simulations. In this paper, we review some of the popular variance reduction techniques and their application to pricing options. We particularly focus on the recent Monte-Carlo techniques proposed to tackle the difﬁcult problem of pricing American options. These include: regression-based methods, random tree methods and stochastic mesh methods. Further, we show how importance sampling, a popular variance reduction technique, may be combined with these methods to enhance their effectiveness. We also brieﬂy review the evolving options market in India.
Numerical Methods for Pricing American Options with Time-Fractional PDE Models
Zhiqiang Zhou
2016-01-01
Full Text Available In this paper we develop a Laplace transform method and a finite difference method for solving American option pricing problem when the change of the option price with time is considered as a fractal transmission system. In this scenario, the option price is governed by a time-fractional partial differential equation (PDE with free boundary. The Laplace transform method is applied to the time-fractional PDE. It then leads to a nonlinear equation for the free boundary (i.e., optimal early exercise boundary function in Laplace space. After numerically finding the solution of the nonlinear equation, the Laplace inversion is used to transform the approximate early exercise boundary into the time space. Finally the approximate price of the American option is obtained. A boundary-searching finite difference method is also proposed to solve the free-boundary time-fractional PDEs for pricing the American options. Numerical examples are carried out to compare the Laplace approach with the finite difference method and it is confirmed that the former approach is much faster than the latter one.
Sergey MALAKHOV
2014-11-01
Full Text Available When income growth under price dispersion reduces the time of search and raises prices of purchases, the increase in purchase price can be presented as the increase in the willingness to pay for insurance or the willingness to pay for consumer credit. The optimal consumer decision represents the trade-off between the propensity to search for beneficial insurance or consumer credit, and marginal savings on insurance policy or consumer credit. Under price dispersion the indirect utility function takes the form of cubic parabola, where the risk aversion behavior ends at the saddle point of the comprehensive insurance or the complete consumer credit. The comparative static analysis of the saddle point of the utility function discovers the ambiguity of the departure from risk-neutrality. This ambiguity can produce the ordinary risk seeking behavior as well as mathematical catastrophes of Veblen-effect’s imprudence and over prudence of family altruism. The comeback to risk aversion is also ambiguous and it results either in increasing or in decreasing relative risk aversion. The paper argues that the decreasing relative risk aversion comes to the optimum quantity of money.
Gas Swing Options: Introduction and Pricing using Monte Carlo Methods
Václavík Tomáš
2016-02-01
Full Text Available Motivated by the changing nature of the natural gas industry in the European Union, driven by the liberalisation process, we focus on the introduction and pricing of gas swing options. These options are embedded in typical gas sales agreements in the form of offtake flexibility concerning volume and time. The gas swing option is actually a set of several American puts on a spread between prices of two or more energy commodities. This fact, together with the fact that the energy markets are fundamentally different from traditional financial security markets, is important for our choice of valuation technique. Due to the specific features of the energy markets, the existing analytic approximations for spread option pricing are hardly applicable to our framework. That is why we employ Monte Carlo methods to model the spot price dynamics of the underlying commodities. The price of an arbitrarily chosen gas swing option is then computed in accordance with the concept of risk-neutral expectations. Finally, our result is compared with the real payoff from the option realised at the time of the option execution and the maximum ex-post payoff that the buyer could generate in case he knew the future, discounted to the original time of the option pricing.
The research on natural gas pipeline transportation price formulation method
YU Wenjia
2014-02-01
Full Text Available This paper will introduce a method of natural gas pipeline transportation price on the basis of two-part tariff.Distance,investment and income have been taken into consideration.The total fee is divided into three parts:reservation fee,usage fee and peak-load regulation fee.Because there are different types of users in the natural gas market who show great difference in the continuity and reliability of gas supply,capacity of bearing price,elastic demand and balance use of gas,according to the method,the different types of users can pay reasonable fee.This method not only considers the investment income recovery but also considers the different types of users paying a reasonable fee.We hope the new pricing model can give a reference to the development of China's natural gas industry.
A new numerical method on American option pricing
顾永耕; 舒继武; 邓小铁; 郑纬民
2002-01-01
Mathematically, the Black-Scholes model of American option pricing is a free boundary problem of partial differential equation. It is well known that this model is a nonlinear problem, and it has no closed form solution. We can only obtain an approximate solution by numerical method, but the precision and stability are hard to control, because the singularity at the exercise boundary near expiration date has a great effect on precision and stability for numerical method. We propose a new numerical method, FDA method, to solve the American option pricing problem, which combines advantages the Semi-Analytical Method and the Front-Fixed Difference Method. Using the FDA method overcomes the difficulty resulting from the singularity at the terminal of optimal exercise boundary. A large amount of calculation shows that the FDA method is more accurate and stable than other numerical methods.
Error Analysis for Fourier Methods for Option Pricing
Häppölä, Juho
2016-01-06
We provide a bound for the error committed when using a Fourier method to price European options when the underlying follows an exponential Levy dynamic. The price of the option is described by a partial integro-differential equation (PIDE). Applying a Fourier transformation to the PIDE yields an ordinary differential equation that can be solved analytically in terms of the characteristic exponent of the Levy process. Then, a numerical inverse Fourier transform allows us to obtain the option price. We present a novel bound for the error and use this bound to set the parameters for the numerical method. We analyze the properties of the bound for a dissipative and pure-jump example. The bound presented is independent of the asymptotic behaviour of option prices at extreme asset prices. The error bound can be decomposed into a product of terms resulting from the dynamics and the option payoff, respectively. The analysis is supplemented by numerical examples that demonstrate results comparable to and superior to the existing literature.
Kumar, Vivek; Horio, Brant M.; DeCicco, Anthony H.; Hasan, Shahab; Stouffer, Virginia L.; Smith, Jeremy C.; Guerreiro, Nelson M.
2015-01-01
This paper presents a search algorithm based framework to calibrate origin-destination (O-D) market specific airline ticket demands and prices for the Air Transportation System (ATS). This framework is used for calibrating an agent based model of the air ticket buy-sell process - Airline Evolutionary Simulation (Airline EVOS) -that has fidelity of detail that accounts for airline and consumer behaviors and the interdependencies they share between themselves and the NAS. More specificially, this algorithm simultaneous calibrates demand and airfares for each O-D market, to within specified threshold of a pre-specified target value. The proposed algorithm is illustrated with market data targets provided by the Transportation System Analysis Model (TSAM) and Airline Origin and Destination Survey (DB1B). Although we specify these models and datasources for this calibration exercise, the methods described in this paper are applicable to calibrating any low-level model of the ATS to some other demand forecast model-based data. We argue that using a calibration algorithm such as the one we present here to synchronize ATS models with specialized forecast demand models, is a powerful tool for establishing credible baseline conditions in experiments analyzing the effects of proposed policy changes to the ATS.
The research on natural gas pipeline transportation price formulation method
YU Wenjia; Ma, Yan
2014-01-01
This paper will introduce a method of natural gas pipeline transportation price on the basis of two-part tariff.Distance,investment and income have been taken into consideration.The total fee is divided into three parts:reservation fee,usage fee and peak-load regulation fee.Because there are different types of users in the natural gas market who show great difference in the continuity and reliability of gas supply,capacity of bearing price,elastic demand and balance use of gas,according to th...
Option pricing with COS method on Graphics Processing Units
B. Zhang (Bo); C.W. Oosterlee (Cornelis)
2009-01-01
htmlabstractIn this paper, acceleration on the GPU for option pricing by the COS method is demonstrated. In particular, both European and Bermudan options will be discussed in detail. For Bermudan options, we consider both the Black-Scholes model and Levy processes of infinite activity. Moreover, th
Option pricing with COS method on Graphics Processing Units
Zhang, B.; Oosterlee, C.W.
2009-01-01
In this paper, acceleration on the GPU for option pricing by the COS method is demonstrated. In particular, both European and Bermudan options will be discussed in detail. For Bermudan options, we consider both the Black-Scholes model and Levy processes of infinite activity. Moreover, the influence
Compact finite difference method for American option pricing
Zhao, Jichao; Davison, Matt; Corless, Robert M.
2007-09-01
A compact finite difference method is designed to obtain quick and accurate solutions to partial differential equation problems. The problem of pricing an American option can be cast as a partial differential equation. Using the compact finite difference method this problem can be recast as an ordinary differential equation initial value problem. The complicating factor for American options is the existence of an optimal exercise boundary which is jointly determined with the value of the option. In this article we develop three ways of combining compact finite difference methods for American option price on a single asset with methods for dealing with this optimal exercise boundary. Compact finite difference method one uses the implicit condition that solutions of the transformed partial differential equation be nonnegative to detect the optimal exercise value. This method is very fast and accurate even when the spatial step size h is large (h[greater-or-equal, slanted]0.1). Compact difference method two must solve an algebraic nonlinear equation obtained by Pantazopoulos (1998) at every time step. This method can obtain second order accuracy for space x and requires a moderate amount of time comparable with that required by the Crank Nicolson projected successive over relaxation method. Compact finite difference method three refines the free boundary value by a method developed by Barone-Adesi and Lugano [The saga of the American put, 2003], and this method can obtain high accuracy for space x. The last two of these three methods are convergent, moreover all the three methods work for both short term and long term options. Through comparison with existing popular methods by numerical experiments, our work shows that compact finite difference methods provide an exciting new tool for American option pricing.
Valuing instream flows using the hedonic price method
Netusil, Noelwah R.; Summers, Matthew T.
2009-11-01
The Oregon Water Trust (OWT) uses a market-based approach to protect and enhance instream flows in Oregon. We use the hedonic price method to estimate the effect of numerous variables on the annualized price OWT pays for water rights: the amount of water protected by the transaction, transaction type (state approved or contractual agreement), presence of anadromous and/or resident fish, and if a fish is listed under the Endangered Species Act (ESA). We find evidence of a premium for state-approved transactions and for transactions that protect water in streams with listed species. Adjusting the amount of water protected by each transaction to include only rights that will be delivered with a high degree of certainty produces coefficient estimates that are similar, but more accurate, than using unadjusted water rights amounts.
Numerical Methods for Pricing American Options with Time-Fractional PDE Models
Zhou, Zhiqiang; Gao, Xuemei
2016-01-01
In this paper we develop a Laplace transform method and a finite difference method for solving American option pricing problem when the change of the option price with time is considered as a fractal...
Search systems and computer-implemented search methods
Payne, Deborah A.; Burtner, Edwin R.; Hampton, Shawn D.; Gillen, David S.; Henry, Michael J.
2017-03-07
Search systems and computer-implemented search methods are described. In one aspect, a search system includes a communications interface configured to access a plurality of data items of a collection, wherein the data items include a plurality of image objects individually comprising image data utilized to generate an image of the respective data item. The search system may include processing circuitry coupled with the communications interface and configured to process the image data of the data items of the collection to identify a plurality of image content facets which are indicative of image content contained within the images and to associate the image objects with the image content facets and a display coupled with the processing circuitry and configured to depict the image objects associated with the image content facets.
Search systems and computer-implemented search methods
Payne, Deborah A.; Burtner, Edwin R.; Bohn, Shawn J.; Hampton, Shawn D.; Gillen, David S.; Henry, Michael J.
2015-12-22
Search systems and computer-implemented search methods are described. In one aspect, a search system includes a communications interface configured to access a plurality of data items of a collection, wherein the data items include a plurality of image objects individually comprising image data utilized to generate an image of the respective data item. The search system may include processing circuitry coupled with the communications interface and configured to process the image data of the data items of the collection to identify a plurality of image content facets which are indicative of image content contained within the images and to associate the image objects with the image content facets and a display coupled with the processing circuitry and configured to depict the image objects associated with the image content facets.
Stråle Johansson, Nathalie; Tjernström, Malin
2014-01-01
Created in 2009, the digital currency of bitcoin is a relatively new phenomenon. During this short period of time, it has however displayed a strong development of both price and trade volume. This has led to increased media attention, but also regulators and researchers have developed an interest. At this moment, the amount of available research is however limited. With a focus on the price volatility of bitcoin and an aim of finding drivers of this volatility, this study is taking a unique ...
A method for short term electricity spot price forecasting
Koreneff, G.; Seppaelae, A.; Lehtonen, M.; Kekkonen, V. [VTT Energy, Espoo (Finland); Laitinen, E.; Haekli, J. [Vaasa Univ. (Finland); Antila, E. [ABB Transmit Oy (Finland)
1998-08-01
In Finland, the electricity market was de-regulated in November 1995. For the electricity purchase of power companies this has caused big changes, since the old tariff based contracts of bulk power supply have been replaced by negotiated bilateral short term contracts and by power purchase from the spot market. In the spot market, in turn, there are at the present two strong actors: The electricity exchange of Finland and the Nordic power pool which is run by the Swedish and Norwegian companies. Today, the power companies in Finland have short term trade with both of the electricity exchanges. The aim of this chapter is to present methods for spot price forecasting in the electricity exchange. The main focus is given to the Finnish circumstances. In the beginning of the presentation, the practices of the electricity exchange of Finland are described, and a brief presentation is given on the different contracts, or electricity products, available in the spot market. For comparison, the practices of the Nordic electricity exchange are also outlined. A time series technique for spot price forecasting is presented. The structure of the model is presented, and its validity is tested using real case data obtained from the Finnish power market. The spot price forecasting model is a part of a computer system for distribution energy management (DEM) in a de-regulated power market
An econometrics method for estimating gold coin futures prices
Fatemeh Pousti
2011-10-01
Full Text Available In this paper, we present some regression functions to estimate gold coin future price based on gold coin price, future exchange price, price of gold traded globally and trend of time. The proposed model of this paper is used for price estimation of special gold coin traded in Iran. The proposed model of this paper is applied for historical data of future gold prices and the results are discussed. The preliminary results indicate that an increase on gold coin price could increase gold coin future price. An increase on foreign exchange price has negative impact on gold coin future and present trend on time has positive impact on gold coin future.
Vaclav Zdarek
2015-10-01
Full Text Available The article sheds some light on the problem of determinants of comparative price levels in the EU. A thorough search for determinants is carried out with help of the Bayesian approach (Bayesian model averaging. This state-of-the-art econometric approach allows researchers to deal with problems such as model uncertainty and open-endedness. Consequently, these cause problems with empirical modelling when using ‘classical’ approaches (e.g. cross-sectional estimations. We utilize dataset consisting of a broad range of variables both already utilized in empirical studies and new ones associated with broadly defined institutional environment and covering the period 1997–2011 for EU-26. Our benchmark results confirm the importance of some ‘traditional’ determinants such as labour costs and output gap and broadly defined environment (institutional factors including a monetary regime. An extension of the basic model so that a potentially differentiated impact of determinants in old and new EU member states can be accommodated does not provide sufficient evidence for differentiated effects of individual price level determinants in new and old EU member states.
48 CFR 52.222-32 - Davis-Bacon Act-Price Adjustment (Actual Method).
2010-10-01
... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Davis-Bacon Act-Price... Provisions and Clauses 52.222-32 Davis-Bacon Act—Price Adjustment (Actual Method). As prescribed in 22.407(g), insert the following clause: Davis-Bacon Act—Price Adjustment (Actual Method) (DEC 2001) (a) The...
48 CFR 52.222-31 - Davis-Bacon Act-Price Adjustment (Percentage Method).
2010-10-01
... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Davis-Bacon Act-Price... Provisions and Clauses 52.222-31 Davis-Bacon Act—Price Adjustment (Percentage Method). As prescribed in 22.407(f), insert the following clause: Davis-Bacon Act—Price Adjustment (Percentage Method) (DEC...
Phonetic search methods for large speech databases
Moyal, Ami; Tetariy, Ella; Gishri, Michal
2013-01-01
“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors’ own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. This brief is useful for resea...
Study on Comparison of Bidding and Pricing Behavior Distinction between Estimate Methods
Morimoto, Emi; Namerikawa, Susumu
The most characteristic trend on bidding and pricing behavior distinction in recent years is the increasing number of bidders just above the criteria for low-price bidding investigations. The contractor's markup is the difference between the bidding price and the execution price. Therefore, the contractor's markup is the difference between criteria for low-price bidding investigations price and the execution price in the public works bid in Japan. Virtually, bidder's strategies and behavior have been controlled by public engineer's budgets. Estimation and bid are inseparably linked in the Japanese public works procurement system. The trial of the unit price-type estimation method begins in 2004. On another front, accumulated estimation method is one of the general methods in public works. So, there are two types of standard estimation methods in Japan. In this study, we did a statistical analysis on the bid information of civil engineering works for the Ministry of Land, Infrastructure, and Transportation in 2008. It presents several issues that bidding and pricing behavior is related to an estimation method (several estimation methods) for public works bid in Japan. The two types of standard estimation methods produce different results that number of bidders (decide on bid-no bid strategy) and distribution of bid price (decide on mark-up strategy).The comparison on the distribution of bid prices showed that the percentage of the bid concentrated on the criteria for low-price bidding investigations have had a tendency to get higher in the large-sized public works by the unit price-type estimation method, comparing with the accumulated estimation method. On one hand, the number of bidders who bids for public works estimated unit-price tends to increase significantly Public works estimated unit-price is likely to have been one of the factors for the construction companies to decide if they participate in the biddings.
An introduction to harmony search optimization method
Wang, Xiaolei; Zenger, Kai
2014-01-01
This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researche
Economic Evaluation for Energy Business Using Real Options Pricing Method
Yun, W.C. [Korea Energy Economics Institute, Euiwang (Korea)
2001-11-01
Recently, facing the new era of restructuring, privatization, and liberalization the energy industry in the world is changing rapidly, and thus the uncertain factors tend to increase. This would imply that energy-related business is now confronted with new market risks as well as the simple price risks. The traditional investment valuation method using the concept of net present value (NPV) or internal rate of revenue (IRR) might not incorporate the managerial alternatives which enable managers to respond flexibly to the changes in business environment. This study pointed out the problems of the traditional discounted cash flow (DCF) method when evaluating a certain capital investment in energy industry. As an alternative, the real option pricing method (ROPM) was proposed, which is widely adopted in the field of profit projection for the venture business. In addition, when applying to energy sector the feasibility of ROPM was discussed, and the frameworks and major results of previous related studies were described. For those using the ROPM in real business, I explained the detailed procedures and solutions of ROPM, and introduced the log-transformed binomial model which provides a more efficient solution. In order to verify the usefulness of the ROPM, this study performed an empirical analysis for a virtual construction and operation project of power plant. And, the results from the ROPM was compared to those from the traditional DCF method. Based on the empirical results, the values of various investment opportunities were shown to be high. Therefore, the project not justified in terms of traditional DCF would turn into the project with a positive gross project value, properly reflecting managerial flexibilities inherent in the original project. (author). 58 refs., 32 figs., 33 tabs.
Statistical search methods for lotsizing problems
M. Salomon (Marc); R. Kuik (Roelof); L.N. van Wassenhove (Luk)
1993-01-01
textabstractThis paper reports on our experiments with statistical search methods for solving lotsizing problems in production planning. In lotsizing problems the main objective is to generate a minimum cost production and inventory schedule, such that (i) customer demand is satisfied, and (ii) capa
Applying Activity Based Costing (ABC Method to Calculate Cost Price in Hospital and Remedy Services
A Dabiri
2012-04-01
Full Text Available Background: Activity Based Costing (ABC is one of the new methods began appearing as a costing methodology in the 1990. It calculates cost price by determining the usage of resources. In this study, ABC method was used for calculating cost price of remedial services in hospitals.Methods: To apply ABC method, Shahid Faghihi Hospital was selected. First, hospital units were divided into three main departments: administrative, diagnostic, and hospitalized. Second, activity centers were defined by the activity analysis method. Third, costs of administrative activity centers were allocated into diagnostic and operational departments based on the cost driver. Finally, with regard to the usage of cost objectives from services of activity centers, the cost price of medical services was calculated.Results: The cost price from ABC method significantly differs from tariff method. In addition, high amount of indirect costs in the hospital indicates that capacities of resources are not used properly.Conclusion: Cost price of remedial services with tariff method is not properly calculated when compared with ABC method. ABC calculates cost price by applying suitable mechanisms but tariff method is based on the fixed price. In addition, ABC represents useful information about the amount and combination of cost price services.
Genetic algorithms as global random search methods
Peck, Charles C.; Dhawan, Atam P.
1995-01-01
Genetic algorithm behavior is described in terms of the construction and evolution of the sampling distributions over the space of candidate solutions. This novel perspective is motivated by analysis indicating that the schema theory is inadequate for completely and properly explaining genetic algorithm behavior. Based on the proposed theory, it is argued that the similarities of candidate solutions should be exploited directly, rather than encoding candidate solutions and then exploiting their similarities. Proportional selection is characterized as a global search operator, and recombination is characterized as the search process that exploits similarities. Sequential algorithms and many deletion methods are also analyzed. It is shown that by properly constraining the search breadth of recombination operators, convergence of genetic algorithms to a global optimum can be ensured.
Semantic search log analysis: a method and a study on professional image search
Hollink, V.; Tsikrika, T.; Vries, A.P. de
2011-01-01
Existing methods for automatically analyzing search logs describe search behavior on the basis of syntactic differences (overlapping terms) between queries. Although these analyses provide valuable insights into the complexity and successfulness of search interactions, they offer a limited interpret
Semantic search log analysis: a method and a study on professional image search
V. Hollink (Vera); T. Tsikrika (Theodora); A.P. de Vries (Arjen)
2011-01-01
htmlabstractExisting methods for automatically analyzing search logs describe search behavior on the basis of syntactic differences (overlapping terms) between queries. Although these analyses provide valuable insights into the complexity and successfulness of search interactions, they offer a
Forecasting Gold Prices Using Multiple Linear Regression Method
Z. Ismail
2009-01-01
Full Text Available Problem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made illegal in USA 41 years ago, but is now once again accepted as a potential currency. The demand for this commodity is on the rise. Approach: Objective of this study was to develop a forecasting model for predicting gold prices based on economic factors such as inflation, currency price movements and others. Following the melt-down of US dollars, investors are putting their money into gold because gold plays an important role as a stabilizing influence for investment portfolios. Due to the increase in demand for gold in Malaysian and other parts of the world, it is necessary to develop a model that reflects the structure and pattern of gold market and forecast movement of gold price. The most appropriate approach to the understanding of gold prices is the Multiple Linear Regression (MLR model. MLR is a study on the relationship between a single dependent variable and one or more independent variables, as this case with gold price as the single dependent variable. The fitted model of MLR will be used to predict the future gold prices. A naive model known as forecast-1 was considered to be a benchmark model in order to evaluate the performance of the model. Results: Many factors determine the price of gold and based on a hunch of experts, several economic factors had been identified to have influence on the gold prices. Variables such as Commodity Research Bureau future index (CRB; USD/Euro Foreign Exchange Rate (EUROUSD; Inflation rate (INF; Money Supply (M1; New York Stock Exchange (NYSE; Standard and Poor 500 (SPX; Treasury Bill (T-BILL and US Dollar index (USDX were considered to
Two pricing methods for solving an integrated commercial fishery ...
... Millar HH & Newbold SM, 1991, A model for planning harvesting and marketing ... ing a large-scale MILP model for an integrated fishery, Journal of Applied ... market-clearing prices in markets with non-convexities, European Journal of ...
Jieun Baek
2016-02-01
Full Text Available This study proposes a new method to quantitatively represent the uncertainty existing in open pit optimization results due to variations in mineral prices. After generating multiple mineral prices using Monte Carlo simulation with data on past mineral prices, a probability model that represents the uncertainty was developed by integrating multiple open pit optimization results derived from the mineral prices. The results of applying the proposed method to the copper-zinc deposits showed that significant uncertainty exists in open pit optimization results due to the variation in copper prices. It was also found that the method has a potential as a tool for classifying the estimation results of ore reserve based on confidence level.
The Stochastic Grid Bundling Method :Efficient pricing of Bermudan options and their Greeks
Jain, S.; Oosterlee, C.W.
2015-01-01
This paper describes a practical simulation-based algorithm, which we call the Stochastic Grid Bundling Metho d(SGBM) for pricing multdimensional Bermudan (i.e.discretely exercisable) options. The method generates a direct estimator of the option price, an optimal early-exercise policy as well as a
On using sample selection methods in estimating the price elasticity of firms' demand for insurance.
Marquis, M Susan; Louis, Thomas A
2002-01-01
We evaluate a technique based on sample selection models that has been used by health economists to estimate the price elasticity of firms' demand for insurance. We demonstrate that, this technique produces inflated estimates of the price elasticity. We show that alternative methods lead to valid estimates.
Convergence Studies on Monte Carlo Methods for Pricing Mortgage-Backed Securities
Tao Pang; Yipeng Yang; Dai Zhao
2015-01-01
.... When pricing complex instruments, like mortgage-backed securities (MBS), strong path-dependency and high dimensionality make the Monte Carlo method the most suitable, if not the only, numerical method...
Conrad, F.; Tonn, B.
1999-05-01
This report presents the results of a study to test a new method for developing descriptions of hard-to-price products. The Bureau of Labor Statistics (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (CPI). BLS accomplishes this task by sending field staff to places of business to price actual products. The field staff are given product checklists to help them determine whether products found today are comparable to products priced the previous month. Prices for non-comparable products are not included in the current month's price index calculations. A serious problem facing BLS is developing product checklists for dynamic product areas, new industries, and the service sector. It is difficult to keep checklists up-to-date and quite often simply to develop checklists for service industry products. Some people estimates that upwards of 50 % of US economic activity is not accounted for in the CPI
Harmony Search Method: Theory and Applications
X. Z. Gao
2015-01-01
Full Text Available The Harmony Search (HS method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified HS method inspired by the idea of Pareto-dominance-based ranking is also presented. It is further applied to handle a practical wind generator optimal design problem.
Error analysis in Fourier methods for option pricing for exponential Lévy processes
Crocce, Fabian
2015-01-07
We derive an error bound for utilising the discrete Fourier transform method for solving Partial Integro-Differential Equations (PIDE) that describe european option prices for exponential Lévy driven asset prices. We give sufficient conditions for the existence of a L? bound that separates the dynamical contribution from that arising from the type of the option n in question. The bound achieved does not rely on information of the asymptotic behaviour of option prices at extreme asset values. In addition, we demonstrate improved numerical performance for select examples of practical relevance when compared to established bounding methods.
Kudryavtsev, Oleg
2013-01-01
In the paper, we consider the problem of pricing options in wide classes of Lévy processes. We propose a general approach to the numerical methods based on a finite difference approximation for the generalized Black-Scholes equation...
Fast Fourier Transform Pricing Method for Exponential Lévy Processes
Crocce, Fabian
2014-05-04
We describe a set of partial-integro-differential equations (PIDE) whose solutions represent the prices of european options when the underlying asset is driven by an exponential L´evy process. Exploiting the L´evy -Khintchine formula, we give a Fourier based method for solving this class of PIDEs. We present a novel L1 error bound for solving a range of PIDEs in asset pricing and use this bound to set parameters for numerical methods.
Conjugate Gradient Methods with Armijo-type Line Searches
Yu-Hong DAI
2002-01-01
Two Armijo-type line searches are proposed in this paper for nonlinear conjugate gradient methods.Under these line searches, global convergence results are established for several famous conjugate gradient method.
Fluctuation of USA Gold Price - Revisited with Chaos-based Complex Network Method
Bhaduri, Susmita; Ghosh, Subhadeep
2016-01-01
We give emphasis on the use of chaos-based rigorous nonlinear technique called Visibility Graph Analysis, to study one economic time series - gold price of USA. This method can offer reliable results with fiinite data. This paper reports the result of such an analysis on the times series depicting the fluctuation of gold price of USA for the span of 25 years(1990 - 2013). This analysis reveals that a quantitative parameter from the theory can explain satisfactorily the real life nature of fluctuation of gold price of USA and hence building a strong database in terms of a quantitative parameter which can eventually be used for forecasting purpose.
Restricted random search method based on taboo search in the multiple minima problem
Hong, Seung Do; Jhon, Mu Shik
1997-03-01
The restricted random search method is proposed as a simple Monte Carlo sampling method to search minima fast in the multiple minima problem. This method is based on taboo search applied recently to continuous test functions. The concept of the taboo region instead of the taboo list is used and therefore the sampling of a region near an old configuration is restricted in this method. This method is applied to 2-dimensional test functions and the argon clusters. This method is found to be a practical and efficient method to search near-global configurations of test functions and the argon clusters.
The COS Method: An Efficient Fourier Method for Pricing Financial Derivatives
Fang, F.
2010-01-01
When valuing and risk-managing financial derivatives, practitioners demand fast and accurate prices and sensitivities. Aside from the pricing of non-standard exotic financial derivatives, so-called plain vanilla European options form the basis for the calibration of financial models. As any pricing
An intelligent method for geographic Web search
Mei, Kun; Yuan, Ying
2008-10-01
While the electronically available information in the World-Wide Web is explosively growing and thus increasing, the difficulty to find relevant information is also increasing for search engine user. In this paper we discuss how to constrain web queries geographically. A number of search queries are associated with geographical locations, either explicitly or implicitly. Accurately and effectively detecting the locations where search queries are truly about has huge potential impact on increasing search relevance, bringing better targeted search results, and improving search user satisfaction. Our approach focus on both in the way geographic information is extracted from the web and, as far as we can tell, in the way it is integrated into query processing. This paper gives an overview of a spatially aware search engine for semantic querying of web document. It also illustrates algorithms for extracting location from web documents and query requests using the location ontologies to encode and reason about formal semantics of geographic web search. Based on a real-world scenario of tourism guide search, the application of our approach shows that the geographic information retrieval can be efficiently supported.
Hozman, J.; Tichý, T.
2016-12-01
The paper is based on the results from our recent research on multidimensional option pricing problems. We focus on European option valuation when the price movement of the underlying asset is driven by a stochastic volatility following a square root process proposed by Heston. The stochastic approach incorporates a new additional spatial variable into this model and makes it very robust, i.e. it provides a framework to price a variety of options that is closer to reality. The main topic is to present the numerical scheme arising from the concept of discontinuous Galerkin methods and applicable to the Heston option pricing model. The numerical results are presented on artificial benchmarks as well as on reference market data.
48 CFR 52.222-30 - Davis-Bacon Act-Price Adjustment (None or Separately Specified Method).
2010-10-01
... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Davis-Bacon Act-Price... CLAUSES Text of Provisions and Clauses 52.222-30 Davis-Bacon Act—Price Adjustment (None or Separately Specified Method). As prescribed in 22.407(e), insert the following clause: Davis-Bacon Act—Price...
ANALYSIS OF FINANCIAL DERIVATIVES BY MECHANICAL METHOD (Ⅰ)-BASIC EQUATION OF PRICE OF INDEX FUTURES
云天铨
2001-01-01
Similar to the method of continuum mechanics, the variation of the price of index futures is viewed to be continuous and regular. According to the characteristic of index futures, a basic equation of price of index futures was established. It is a differential equation, its solution shows that the relation between time and price forms a logarithmic circle. If the time is thought of as the probability of its corresponding price, then such a relation is perfectly coincided with the main assumption of the famous formula of option pricing, based on statistical theory, established by Black and Scholes winner of 1997 Nobel' prize on economy. In that formula, the probability of price of basic assets (they stand for index futures here) is assummed to be a logarithmic normal distribution. This agreement shows that the same result may be obtained by two analytic methods with different bases. However, the result, given by assumption by Black-Scholes, is derived from the solution of the differential equation.
Price forecasting of day-ahead electricity markets using a hybrid forecast method
Shafie-khah, M., E-mail: miadreza@gmail.co [Tarbiat Modares University, Tehran (Iran, Islamic Republic of); Moghaddam, M. Parsa, E-mail: parsa@modares.ac.i [Tarbiat Modares University, Tehran (Iran, Islamic Republic of); Sheikh-El-Eslami, M.K., E-mail: aleslam@modares.ac.i [Tarbiat Modares University, Tehran (Iran, Islamic Republic of)
2011-05-15
Research highlights: {yields} A hybrid method is proposed to forecast the day-ahead prices in electricity market. {yields} The method combines Wavelet-ARIMA and RBFN network models. {yields} PSO method is applied to obtain optimum RBFN structure for avoiding over fitting. {yields} One of the merits of the proposed method is lower need to the input data. {yields} The proposed method has more accurate behavior in compare with previous methods. -- Abstract: Energy price forecasting in a competitive electricity market is crucial for the market participants in planning their operations and managing their risk, and it is also the key information in the economic optimization of the electric power industry. However, price series usually have a complex behavior due to their nonlinearity, nonstationarity, and time variancy. In this paper, a novel hybrid method to forecast day-ahead electricity price is proposed. This hybrid method is based on wavelet transform, Auto-Regressive Integrated Moving Average (ARIMA) models and Radial Basis Function Neural Networks (RBFN). The wavelet transform provides a set of better-behaved constitutive series than price series for prediction. ARIMA model is used to generate a linear forecast, and then RBFN is developed as a tool for nonlinear pattern recognition to correct the estimation error in wavelet-ARIMA forecast. Particle Swarm Optimization (PSO) is used to optimize the network structure which makes the RBFN be adapted to the specified training set, reducing computation complexity and avoiding overfitting. The proposed method is examined on the electricity market of mainland Spain and the results are compared with some of the most recent price forecast methods. The results show that the proposed hybrid method could provide a considerable improvement for the forecasting accuracy.
Discounted Cash Flow and Modern Asset Pricing Methods - Project Selection and Policy Implications
Emhjellen, Magne; Alaouze, Chris M.
2002-07-01
We examine the differences in the net present values (NPV's) of North Sea oil projects obtained using the Weighted Average Cost of Capital (WACC) and a Modern Asset Pricing (MAP) method which involves the separate discounting of project cash flow components. NPV differences of more than $1 Om were found for some oil projects. Thus, the choice of valuation method will affect the development decisions of oil companies. The results of the MAP method are very sensitive to the choice of parameter values for the stochastic process used to model oil prices. Further research is recommended before the MAP method is used as the sole valuation model. (author)
Discounted Cash Flow and Modern Asset Pricing Methods - Project Selection and Policy Implications
Emhjellen, Magne; Alaouze, Chris M.
2002-07-01
We examine the differences in the net present values (NPV's) of North Sea oil projects obtained using the Weighted Average Cost of Capital (WACC) and a Modern Asset Pricing (MAP) method which involves the separate discounting of project cash flow components. NPV differences of more than $1 Om were found for some oil projects. Thus, the choice of valuation method will affect the development decisions of oil companies. The results of the MAP method are very sensitive to the choice of parameter values for the stochastic process used to model oil prices. Further research is recommended before the MAP method is used as the sole valuation model. (author)
Comparison tomography relocation hypocenter grid search and guided grid search method in Java island
Nurdian, S. W.; Adu, N.; Palupi, I. R.; Raharjo, W.
2016-11-01
The main data in this research is earthquake data recorded from 1952 to 2012 with 9162 P wave and 2426 events are recorded by 30 stations located around Java island. Relocation hypocenter processed using grid search and guidded grid search method. Then the result of relocation hypocenter become input for tomography pseudo bending inversion process. It can be used to identification the velocity distribution in subsurface. The result of relocation hypocenter by grid search and guided grid search method after tomography process shown in locally and globally. In locally area grid search method result is better than guided grid search according to geological reseach area. But in globally area the result of guided grid search method is better for a broad area because the velocity variation is more diverse than the other one and in accordance with local geological research conditions.
Lattice Methods for Pricing American Strangles with Two-Dimensional Stochastic Volatility Models
Xuemei Gao
2014-01-01
Full Text Available The aim of this paper is to extend the lattice method proposed by Ritchken and Trevor (1999 for pricing American options with one-dimensional stochastic volatility models to the two-dimensional cases with strangle payoff. This proposed method is compared with the least square Monte-Carlo method via numerical examples.
THE LONG MEMORY PROPERTY OF HUNGARIAN MARKET PIG PRICES: A COMPARISON OF THREE DIFFERENT METHODS
SÁNDOR KOVÁCS
2012-10-01
Full Text Available The present study investigates the long memory property of market pig prices. Simply knowing that these time series have long term dependence could have strong significance when forecasting prices. The presence of long memory is crucial information in making business decisions and creating portfolios. Long memory can be measured by calculating the so-called Hurst exponent. In our article, we studied and described three different methods (Rescaled range, Detrended Fluctuation Analysis, Autoregressive Fractionally Integrated Moving Average. Data consist of four time series (piglet, young pig, sow, slaughter pig between 1991 and 2011. Before conducting the econometric analysis, all the series were seasonally adjusted using the TRAMO/SEATS method. Data preparation was followed by differencing the time series and testing their normality and stationarity. In the next step, we divided the analysed period into four parts and determined the Hurst exponent for each sub-period, using all three methods. In summary, results showed that slaughter pig prices are random; pig and piglet prices developed similarly and have long memory, while sow price changes definitely have short memory. Among the methods of pinpointing long term memory, ARFIMA was used for making the forecast. The forecasting ability of the method was compared to the traditional ARIMA model, with ARFIMA proving to be the better of the two.
Tight Error Bounds for Fourier Methods for Option Pricing for Exponential Levy Processes
Crocce, Fabian
2016-01-06
Prices of European options whose underlying asset is driven by the L´evy process are solutions to partial integrodifferential Equations (PIDEs) that generalise the Black-Scholes equation by incorporating a non-local integral term to account for the discontinuities in the asset price. The Levy -Khintchine formula provides an explicit representation of the characteristic function of a L´evy process (cf, [6]): One can derive an exact expression for the Fourier transform of the solution of the relevant PIDE. The rapid rate of convergence of the trapezoid quadrature and the speedup provide efficient methods for evaluationg option prices, possibly for a range of parameter configurations simultaneously. A couple of works have been devoted to the error analysis and parameter selection for these transform-based methods. In [5] several payoff functions are considered for a rather general set of models, whose characteristic function is assumed to be known. [4] presents the framework and theoretical approach for the error analysis, and establishes polynomial convergence rates for approximations of the option prices. [1] presents FT-related methods with curved integration contour. The classical flat FT-methods have been, on the other hand, extended for option pricing problems beyond the European framework [3]. We present a methodology for studying and bounding the error committed when using FT methods to compute option prices. We also provide a systematic way of choosing the parameters of the numerical method, minimising the error bound and guaranteeing adherence to a pre-described error tolerance. We focus on exponential L´evy processes that may be of either diffusive or pure jump in type. Our contribution is to derive a tight error bound for a Fourier transform method when pricing options under risk-neutral Levy dynamics. We present a simplified bound that separates the contributions of the payoff and of the process in an easily processed and extensible product form that
Representation Methods in AI. Searching by Graphs
Angel GARRIDO
2012-12-01
Full Text Available The historical origin of the Artificial Intelligence (A I is usually established in the Darmouth Conference, of 1956. But we can find many more arcane origins [1]. Also, we can consider, in more recent times, very great thinkers, as Janos Neumann (then, John von Neumann, arrived in USA, Norbert Wiener, Alan Mathison Turing, or Lofti Zadehfor instance [6, 7]. Frequently A I requires Logic. But its classical version shows too many insufficiencies. So, it was necessary to introduce more sophisticated tools, as fuzzy logic, modal logic, non-monotonic logic and so on [2]. Among the things that A I needs to represent are: categories, objects, properties, relations between objects, situations, states, time, events, causes and effects, knowledge about knowledge, and so on. The problems in A I can be classified in two general types [3, 4]: search problems and representation problems. In this last “mountain”, there exist different ways to reach their summit. So, we have [3]: logics, rules, frames, associative nets, scripts and so on, many times connectedamong them. We attempt, in this paper, a panoramic vision of the scope of application of such Representation Methods in A I. The two more disputable questions of both modern philosophy of mind and A I will be Turing Test and The Chinese Room Argument. To elucidate these very difficult questions, see both final Appendices.
Going where the ad leads you : On high advertised prices and searching where to buy
Janssen, Maarten C. W.; Non, Marielle C.
2009-01-01
An important role of informative advertising is to inform consumers of the simple fact that the shop that advertises sells a particular product. This information may help consumers to save on their search activities: instead of wandering around, a consumer can simply visit the shop that has advertis
Going where the ad leads you : On high advertised prices and searching where to buy
Janssen, Maarten C. W.; Non, Marielle C.
2009-01-01
An important role of informative advertising is to inform consumers of the simple fact that the shop that advertises sells a particular product. This information may help consumers to save on their search activities: instead of wandering around, a consumer can simply visit the shop that has advertis
Waterlander, Wilma E; Blakely, Tony; Nghiem, Nhung; Cleghorn, Christine L; Eyles, Helen; Genc, Murat; Wilson, Nick; Jiang, Yannan; Swinburn, Boyd; Jacobi, Liana; Michie, Jo; Ni Mhurchu, Cliona
2016-07-19
There is a need for accurate and precise food price elasticities (PE, change in consumer demand in response to change in price) to better inform policy on health-related food taxes and subsidies. The Price Experiment and Modelling (Price ExaM) study aims to: I) derive accurate and precise food PE values; II) quantify the impact of price changes on quantity and quality of discrete food group purchases and; III) model the potential health and disease impacts of a range of food taxes and subsidies. To achieve this, we will use a novel method that includes a randomised Virtual Supermarket experiment and econometric methods. Findings will be applied in simulation models to estimate population health impact (quality-adjusted life-years [QALYs]) using a multi-state life-table model. The study will consist of four sequential steps: 1. We generate 5000 price sets with random price variation for all 1412 Virtual Supermarket food and beverage products. Then we add systematic price variation for foods to simulate five taxes and subsidies: a fruit and vegetable subsidy and taxes on sugar, saturated fat, salt, and sugar-sweetened beverages. 2. Using an experimental design, 1000 adult New Zealand shoppers complete five household grocery shops in the Virtual Supermarket where they are randomly assigned to one of the 5000 price sets each time. 3. Output data (i.e., multiple observations of price configurations and purchased amounts) are used as inputs to econometric models (using Bayesian methods) to estimate accurate PE values. 4. A disease simulation model will be run with the new PE values as inputs to estimate QALYs gained and health costs saved for the five policy interventions. The Price ExaM study has the potential to enhance public health and economic disciplines by introducing internationally novel scientific methods to estimate accurate and precise food PE values. These values will be used to model the potential health and disease impacts of various food pricing policy
Exhaustive search system and method using space-filling curves
Spires, Shannon V.
2003-10-21
A search system and method for one agent or for multiple agents using a space-filling curve provides a way to control one or more agents to cover an area of any space of any dimensionality using an exhaustive search pattern. An example of the space-filling curve is a Hilbert curve. The search area can be a physical geography, a cyberspace search area, or an area searchable by computing resources. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace.
The COS Method: An Efficient Fourier Method for Pricing Financial Derivatives
2010-01-01
When valuing and risk-managing financial derivatives, practitioners demand fast and accurate prices and sensitivities. Aside from the pricing of non-standard exotic financial derivatives, so-called plain vanilla European options form the basis for the calibration of financial models. As any pricing and risk management system has to be able to calibrate to these plain vanilla options, it is important to be able to value these options quickly and accurately. By means of the risk-neutral valuati...
Efficient protein structure search using indexing methods.
Kim, Sungchul; Sael, Lee; Yu, Hwanjo
2013-01-01
Understanding functions of proteins is one of the most important challenges in many studies of biological processes. The function of a protein can be predicted by analyzing the functions of structurally similar proteins, thus finding structurally similar proteins accurately and efficiently from a large set of proteins is crucial. A protein structure can be represented as a vector by 3D-Zernike Descriptor (3DZD) which compactly represents the surface shape of the protein tertiary structure. This simplified representation accelerates the searching process. However, computing the similarity of two protein structures is still computationally expensive, thus it is hard to efficiently process many simultaneous requests of structurally similar protein search. This paper proposes indexing techniques which substantially reduce the search time to find structurally similar proteins. In particular, we first exploit two indexing techniques, i.e., iDistance and iKernel, on the 3DZDs. After that, we extend the techniques to further improve the search speed for protein structures. The extended indexing techniques build and utilize an reduced index constructed from the first few attributes of 3DZDs of protein structures. To retrieve top-k similar structures, top-10 × k similar structures are first found using the reduced index, and top-k structures are selected among them. We also modify the indexing techniques to support θ-based nearest neighbor search, which returns data points less than θ to the query point. The results show that both iDistance and iKernel significantly enhance the searching speed. In top-k nearest neighbor search, the searching time is reduced 69.6%, 77%, 77.4% and 87.9%, respectively using iDistance, iKernel, the extended iDistance, and the extended iKernel. In θ-based nearest neighbor serach, the searching time is reduced 80%, 81%, 95.6% and 95.6% using iDistance, iKernel, the extended iDistance, and the extended iKernel, respectively.
Kudryavtsev, Oleg
2013-01-01
In the paper, we consider the problem of pricing options in wide classes of Lévy processes. We propose a general approach to the numerical methods based on a finite difference approximation for the generalized Black-Scholes equation. The goal of the paper is to incorporate the Wiener-Hopf factorization into finite difference methods for pricing options in Lévy models with jumps. The method is applicable for pricing barrier and American options. The pricing problem is reduced to the sequence of linear algebraic systems with a dense Toeplitz matrix; then the Wiener-Hopf factorization method is applied. We give an important probabilistic interpretation based on the infinitely divisible distributions theory to the Laurent operators in the correspondent factorization identity. Notice that our algorithm has the same complexity as the ones which use the explicit-implicit scheme, with a tridiagonal matrix. However, our method is more accurate. We support the advantage of the new method in terms of accuracy and convergence by using numerical experiments.
International drug price comparisons: quality assessment.
Machado, Márcio; O'Brodovich, Ryan; Krahn, Murray; Einarson, Thomas R
2011-01-01
To quantitatively summarize results (i.e., prices and affordability) reported from international drug price comparison studies and assess their methodological quality. A systematic search of the most relevant databases-Medline, Embase, International Pharmaceutical Abstracts (IPA), and Scopus, from their inception to May 2009-was conducted to identify original research comparing international drug prices. International drug price information was extracted and recorded from accepted papers. Affordability was reported as drug prices adjusted for income. Study quality was assessed using six criteria: use of similar countries, use of a representative sample of drugs, selection of specific types of prices, identification of drug packaging, different weights on price indices, and the type of currency conversion used. Of the 1 828 studies identified, 21 were included. Only one study adequately addressed all quality issues. A large variation in study quality was observed due to the many methods used to conduct the drug price comparisons, such as different indices, economic parameters, price types, basket of drugs, and more. Thus, the quality of published studies was considered poor. Results varied across studies, but generally, higher income countries had higher drug prices. However, after adjusting drug prices for affordability, higher income countries had more affordable prices than lower income countries. Differences between drug prices and affordability in different countries were found. Low income countries reported less affordability of drugs, leaving room for potential problems with drug access, and consequently, a negative impact on health. The quality of the literature on this topic needs improvement.
ANALYSIS OF FINANCIAL DERIVATIVES BY MECHANICAL METHOD (Ⅱ)-BASIC EQUATION OF MARKET PRICE OF OPTION
云天铨
2001-01-01
The basic equation of market price of option is formulated by taking assumptions based on the characteristics of option and similar method for formulating basic equations in solid mechanics: hv0 (t) = m1 v0-1 (t) -n1 v0 (t) + F , where h, m1 ,n1 , F are constants.The main assumptions are: the ups and downs of market price v0 (t) are determined by supply and demand of the market;the factors, such as the strike price, tenor, volatility, etc.that affect on v0 (t) are demonstrated by using proportion or inverse proportion relation;opposite rules are used for purchasing and selling respectively. The solutions of the basic equation under various conditions are found and are compared with the solution vf (t) of the basic equation of market price of futures. Furthermore the one-one correspondence between vf and v0 (t) is proved by implicit function theorem, which forms the theoretic base for study of vf affecting on the market price of option v0(t) .
Adaptive nonmonotone line search method for unconstrained optimization
Qunyan ZHOU; Wenyu SUN
2008-01-01
In this paper, an adaptive nonmonotone line search method for unconstrained minimization problems is proposed. At every iteration, the new algorithm selects only one of the two directions: a Newton-type direc-tion and a negative curvature direction, to perform the line search. The nonmonotone technique is included in the backtracking line search when the Newton-type direction is the search direction. Furthermore, if the negative curvature direction is the search direction, we increase the steplength un-der certain conditions. The global convergence to a stationary point with second-order optimality conditions is established. Some numerical results which show the efficiency of the new algorithm are reported.
Hozman, J.; Tichý, T.
2017-07-01
The paper is based on the results from our recent research on path-dependent multi-asset options. Here we focus on options, payoff of which depends on the difference of the spread of two underlying assets at expiry and their average spread during the life of the option. The main idea uses a concept of the dimensional reduction to the PDE model with only two spatial variables describing this option pricing problem. Then the numerical option pricing scheme arising from the discontinuous Galerkin method is developed. Finally, a simple numerical result is presented on real market data.
Kudryavtsev, Oleg
2013-01-01
In the paper, we consider the problem of pricing options in wide classes of Lévy processes. We propose a general approach to the numerical methods based on a finite difference approximation for the generalized Black-Scholes equation...
Pricing of perpetual American and Bermudan options by binomial tree method
LIN Jianwei; LIANG Jin
2007-01-01
In this paper, we consider the binomial tree method for pricing perpetual American and perpetual Bermudan options. The closed form solutions of these discrete models are solved. Explicit formulas for the optimal exercise boundary of the perpetual American option is obtained.A nonlinear equation that is satisfied by the optimal exercise boundaries of the perpetual Bermudan option is found.
Monte Carlo methods for multidimensional integration for European option pricing
Todorov, V.; Dimov, I. T.
2016-10-01
In this paper, we illustrate examples of highly accurate Monte Carlo and quasi-Monte Carlo methods for multiple integrals related to the evaluation of European style options. The idea is that the value of the option is formulated in terms of the expectation of some random variable; then the average of independent samples of this random variable is used to estimate the value of the option. First we obtain an integral representation for the value of the option using the risk neutral valuation formula. Then with an appropriations change of the constants we obtain a multidimensional integral over the unit hypercube of the corresponding dimensionality. Then we compare a specific type of lattice rules over one of the best low discrepancy sequence of Sobol for numerical integration. Quasi-Monte Carlo methods are compared with Adaptive and Crude Monte Carlo techniques for solving the problem. The four approaches are completely different thus it is a question of interest to know which one of them outperforms the other for evaluation multidimensional integrals in finance. Some of the advantages and disadvantages of the developed algorithms are discussed.
Titus SUCIU
2013-01-01
In individual companies, price is one significant factor in achieving marketing success. In many purchase situations, price can be of great importance to customers. Marketers must establish pricing strategies that are compatible with the rest of the marketing mix. Management should decide whether to charge the same price to all similar buyers of identical quantities of a product (a one-price strategy) or to set different prices (a flexible price strategy). Many organizations, especially retai...
Titus SUCIU
2013-01-01
In individual companies, price is one significant factor in achieving marketing success. In many purchase situations, price can be of great importance to customers. Marketers must establish pricing strategies that are compatible with the rest of the marketing mix. Management should decide whether to charge the same price to all similar buyers of identical quantities of a product (a one-price strategy) or to set different prices (a flexible price strategy). Many organizations, especially retai...
Price strategy and pricing strategy: terms and content identification
Panasenko Tetyana
2015-01-01
The article is devoted to the terminology and content identification of seemingly identical concepts "price strategy" and "pricing strategy". The article contains evidence that the price strategy determines the direction, principles and procedure of implementing the company price policy and pricing strategy creates a set of rules and practical methods of price formation in accordance with the pricing strategy of the company.
A screened automated structural search with semiempirical methods
Ota, Yukihiro; Machida, Masahiko; Shiga, Motoyuki
2016-01-01
We developed an interface program between a program suite for an automated search of chemical reaction pathways, GRRM, and a program package of semiempirical methods, MOPAC. A two-step structural search is proposed as an application of this interface program. A screening test is first performed by semiempirical calculations. Subsequently, a reoptimization procedure is done by ab initio or density functional calculations. We apply this approach to ion adsorption on cellulose. The computational efficiency is also shown for a GRRM search. The interface program is suitable for the structural search of large molecular systems for which semiempirical methods are applicable.
R.P. Faber (Riemer)
2010-01-01
textabstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects of price setting. First, it studies whether the existence of a suggested price has a coordinating effect on the prices of firms. Second
Real-time earthquake monitoring using a search engine method
Zhang, Jie; Zhang, Haijiang; Chen, Enhong; Zheng, Yi; Kuang, Wenhuan; Zhang, Xiong
2014-12-01
When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an Mw 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake’s parameters in <1 s after receiving the long-period surface wave data.
Real-time earthquake monitoring using a search engine method.
Zhang, Jie; Zhang, Haijiang; Chen, Enhong; Zheng, Yi; Kuang, Wenhuan; Zhang, Xiong
2014-12-04
When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an Mw 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake's parameters in <1 s after receiving the long-period surface wave data.
A Collocation Method by Moving Least Squares Applicable to European Option Pricing
M. Amirfakhrian
2016-05-01
Full Text Available The subject matter of the present inquiry is the pricing of European options in the actual form of numbers. To assess the numerical prices of European options, a scheme independent of any kind of mesh but rather powered by moving least squares (MLS estimation is made. In practical terms, first the discretion of time variable is implemented and then, an MLS-powered method is applied for spatial approximation. As, unlike other methods, these courses of action mentioned here don't rely on a mesh, one can firmly claim they are to be categorized under mesh-less methods. And, of course, at the end of the paper, various experiments are offered to prove how efficient and how powerful the introduced approach is.
Job Search as Goal-Directed Behavior: Objectives and Methods
Van Hoye, Greet; Saks, Alan M.
2008-01-01
This study investigated the relationship between job search objectives (finding a new job/turnover, staying aware of job alternatives, developing a professional network, and obtaining leverage against an employer) and job search methods (looking at job ads, visiting job sites, networking, contacting employment agencies, contacting employers, and…
Building maps to search the web: the method Sewcom
Corrado Petrucco
2002-01-01
Full Text Available Seeking information on the Internet is becoming a necessity 'at school, at work and in every social sphere. Unfortunately the difficulties' inherent in the use of search engines and the use of unconscious cognitive approaches inefficient limit their effectiveness. It is in this respect presented a method, called SEWCOM that lets you create conceptual maps through interaction with search engines.
Pavideoge: A New Video Processing Method in Video Search Engine
Yang, Pu; Chen, Guang
2009-01-01
In this paper, we study the problems of video processing in video search engine. Video has now become a very important kind of data in Internet; while searching for video is still a challenging task due to the inner properties of video: requiring enormous storage space, being independent, expressing information hiddenly. To handle the properties of video more effectively, in this paper, we propose a new video processing method in video search engine. In detail, the core of the new video processing method is creating pavideoge--a new data type, which contains the video advantages and webpage advantages. The pavideoge has four attributes: real link, videorank, text information and playnum. Each of them combines video's properties with webpage's. Video search engine based on the pavideoge can retrieve video more effectively. The experiment results show the encouraging performance of our approach. Based on the pavideoge, our video search engine can retrieve more precise videos in comparsion with previous related ...
Characterizing abrupt changes in the stock prices using a wavelet decomposition method
Caetano, Marco Antonio Leonel; Yoneyama, Takashi
2007-09-01
Abrupt changes in the stock prices, either upwards or downwards, are usually preceded by an oscillatory behavior with frequencies that tend to increase as the moment of transition becomes closer. The wavelet decomposition methods may be useful for analysis of this oscillations with varying frequencies, because they provide simultaneous information on the frequency (scale) and localization in time (translation). However, in order to use the wavelet decomposition, certain requirements have to be satisfied, so that the linear and cyclic trends are eliminated by standard least squares techniques. The coefficients obtained by the wavelet decomposition can be represented in a graphical form. A threshold can then be established to characterize the likelihood of a short-time abrupt change in the stock prices. Actual data from the São Paulo Stock Exchange (Bolsa de Valores de São Paulo) were used in this work to illustrate the proposed method.
A Variable Coefficient Method for Accurate Monte Carlo Simulation of Dynamic Asset Price
Li, Yiming; Hung, Chih-Young; Yu, Shao-Ming; Chiang, Su-Yun; Chiang, Yi-Hui; Cheng, Hui-Wen
2007-07-01
In this work, we propose an adaptive Monte Carlo (MC) simulation technique to compute the sample paths for the dynamical asset price. In contrast to conventional MC simulation with constant drift and volatility (μ,σ), our MC simulation is performed with variable coefficient methods for (μ,σ) in the solution scheme, where the explored dynamic asset pricing model starts from the formulation of geometric Brownian motion. With the method of simultaneously updated (μ,σ), more than 5,000 runs of MC simulation are performed to fulfills basic accuracy of the large-scale computation and suppresses statistical variance. Daily changes of stock market index in Taiwan and Japan are investigated and analyzed.
Xinfeng Ruan
2013-01-01
Full Text Available We study option pricing with risk-minimization criterion in an incomplete market where the dynamics of the risky underlying asset is governed by a jump diffusion equation with stochastic volatility. We obtain the Radon-Nikodym derivative for the minimal martingale measure and a partial integro-differential equation (PIDE of European option. The finite difference method is employed to compute the European option valuation of PIDE.
An Efficient Method for Solving Spread Option Pricing Problem: Numerical Analysis and Computing
R. Company
2016-01-01
Full Text Available This paper deals with numerical analysis and computing of spread option pricing problem described by a two-spatial variables partial differential equation. Both European and American cases are treated. Taking advantage of a cross derivative removing technique, an explicit difference scheme is developed retaining the benefits of the one-dimensional finite difference method, preserving positivity, accuracy, and computational time efficiency. Numerical results illustrate the interest of the approach.
Psychophysical methods in study of consumers' perceived price change for food products.
Chang, Ming-Hsu; Chiou, Wen-Bin
2007-04-01
When adjusting product prices, marketers wish information concerning consumers' price perceptions. The present study aimed to develop an optimal pricing framework for food products by applying Weber's Law and Stevens' Power Law in psychophysics. The first phase attempted to measure the differential thresholds when magnitudes of prices were raised and lowered. The second phase was conducted to establish the psychophysical function representing perceived changes. Analysis showed consumers' differential thresholds were positively correlated with the initial price, consistent with Weber's Law. Further, participants' perceived change differed for increased and decreased prices. Products were perceived as cheaper only when medium-and low-priced products dropped dramatically in price. However, small reductions for the high-priced products were perceived as cheaper. Regardless of price changes, participants perceived products were more expensive when prices dropped by a small
Method and System for Object Recognition Search
Duong, Tuan A. (Inventor); Duong, Vu A. (Inventor); Stubberud, Allen R. (Inventor)
2012-01-01
A method for object recognition using shape and color features of the object to be recognized. An adaptive architecture is used to recognize and adapt the shape and color features for moving objects to enable object recognition.
Tabu search method with random moves for globally optimal design
Hu, Nanfang
1992-09-01
Optimum engineering design problems are usually formulated as non-convex optimization problems of continuous variables. Because of the absence of convexity structure, they can have multiple minima, and global optimization becomes difficult. Traditional methods of optimization, such as penalty methods, can often be trapped at a local optimum. The tabu search method with random moves to solve approximately these problems is introduced. Its reliability and efficiency are examined with the help of standard test functions. By the analysis of the implementations, it is seen that this method is easy to use, and no derivative information is necessary. It outperforms the random search method and composite genetic algorithm. In particular, it is applied to minimum weight design examples of a three-bar truss, coil springs, a Z-section and a channel section. For the channel section, the optimal design using the tabu search method with random moves saved 26.14 percent over the weight of the SUMT method.
Method of Improving Personal Name Search in Academic Information Service
Heejun Han
2012-12-01
Full Text Available All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.
Evaluation of power system security and development of transmission pricing method
Kim, Hyungchul
The electric power utility industry is presently undergoing a change towards the deregulated environment. This has resulted in unbundling of generation, transmission and distribution services. The introduction of competition into unbundled electricity services may lead system operation closer to its security boundaries resulting in smaller operating safety margins. The competitive environment is expected to lead to lower price rates for customers and higher efficiency for power suppliers in the long run. Under this deregulated environment, security assessment and pricing of transmission services have become important issues in power systems. This dissertation provides new methods for power system security assessment and transmission pricing. In power system security assessment, the following issues are discussed (1) The description of probabilistic methods for power system security assessment; (2) The computation time of simulation methods; (3) on-line security assessment for operation. A probabilistic method using Monte-Carlo simulation is proposed for power system security assessment. This method takes into account dynamic and static effects corresponding to contingencies. Two different Kohonen networks, Self-Organizing Maps and Learning Vector Quantization, are employed to speed up the probabilistic method. The combination of Kohonen networks and Monte-Carlo simulation can reduce computation time in comparison with straight Monte-Carlo simulation. A technique for security assessment employing Bayes classifier is also proposed. This method can be useful for system operators to make security decisions during on-line power system operation. This dissertation also suggests an approach for allocating transmission transaction costs based on reliability benefits in transmission services. The proposed method shows the transmission transaction cost of reliability benefits when transmission line capacities are considered. The ratio between allocation by transmission line
Azar, Jose
2009-01-01
This paper studies the joint dynamics of oil prices and interest in electric cars, measured as the volume of Google searches for related phrases. Not surprisingly, I find that oil price shocks predict increases in Google searches for electric cars. Much more surprisingly, I also find that an increase in Google searches predicts declines in oil prices. The high level of public interest in electric cars between April and August of 2008 can explain approximately half of the decline in oil prices...
Approximation methods of European option pricing in multiscale stochastic volatility model
Ni, Ying; Canhanga, Betuel; Malyarenko, Anatoliy; Silvestrov, Sergei
2017-01-01
In the classical Black-Scholes model for financial option pricing, the asset price follows a geometric Brownian motion with constant volatility. Empirical findings such as volatility smile/skew, fat-tailed asset return distributions have suggested that the constant volatility assumption might not be realistic. A general stochastic volatility model, e.g. Heston model, GARCH model and SABR volatility model, in which the variance/volatility itself follows typically a mean-reverting stochastic process, has shown to be superior in terms of capturing the empirical facts. However in order to capture more features of the volatility smile a two-factor, of double Heston type, stochastic volatility model is more useful as shown in Christoffersen, Heston and Jacobs [12]. We consider one modified form of such two-factor volatility models in which the volatility has multiscale mean-reversion rates. Our model contains two mean-reverting volatility processes with a fast and a slow reverting rate respectively. We consider the European option pricing problem under one type of the multiscale stochastic volatility model where the two volatility processes act as independent factors in the asset price process. The novelty in this paper is an approximating analytical solution using asymptotic expansion method which extends the authors earlier research in Canhanga et al. [5, 6]. In addition we propose a numerical approximating solution using Monte-Carlo simulation. For completeness and for comparison we also implement the semi-analytical solution by Chiarella and Ziveyi [11] using method of characteristics, Fourier and bivariate Laplace transforms.
Searching Inhibitors of Adenosine Kinase by Simulation Methods
ZHU Rui-Xin; ZHANG Xing-Long; DONG Xi-Cheng; CHEN Min-Bo
2006-01-01
Searching new inhibitors of adenosine kinase (AK) is still drawing attention of experimental scientists. A better and solid model is here proposed by means of simulation methods from different ways, the direct analysis of receptor itself, the conventional 3D-QSAR methods and the integration of docking method and the conventional QSAR analysis.
Variable Neighborhood Simplex Search Methods for Global Optimization Models
Pongchanun Luangpaiboon
2012-01-01
Full Text Available Problem statement: Many optimization problems of practical interest are encountered in various fields of chemical, engineering and management sciences. They are computationally intractable. Therefore, a practical algorithm for solving such problems is to employ approximation algorithms that can find nearly optimums within a reasonable amount of computational time. Approach: In this study the hybrid methods combining the Variable Neighborhood Search (VNS and simplexs family methods are proposed to deal with the global optimization problems of noisy continuous functions including constrained models. Basically, the simplex methods offer a search scheme without the gradient information whereas the VNS has the better searching ability with a systematic change of neighborhood of the current solution within a local search. Results: The VNS modified simplex method has a better searching ability for optimization problems with noise. The VNS modified simplex method also outperforms in average on the characteristics of intensity and diversity during the evolution of design point moving stage for the constrained optimization. Conclusion: The adaptive hybrid versions have proved to obtain significantly better results than the conventional methods. The amount of computation effort required for successful optimization is very sensitive to the rate of noise decrease of the process yields. Under circumstances of constrained optimization and gradually increasing the noise during an optimization the most preferred approach is the VNS modified simplex method.
Rivas Casado, Monica; Serafini, Jan; Glen, John; Angus, Andrew
2017-03-01
In England and Wales planning regulations require local governments to treat waste near its source. This policy principle alongside regional self-sufficiency and the logistical advantages of minimising distances for waste treatment mean that energy from waste incinerators have been built close to, or even within urban conurbations. There is a clear policy and research need to balance the benefits of energy production from waste incinerators against the negative externalities experienced by local residents. However, the monetary costs of nuisance emissions from incinerators are not immediately apparent. This study uses the Hedonic Pricing Method to estimate the monetary value of impacts associated with three incinerators in England. Once operational, the impact of the incinerators on local house prices ranged from approximately 0.4% to 1.3% of the mean house price for the respective areas. Each of the incinerators studied had been sited on previously industrialised land to minimise overall impact. To an extent this was achieved and results support the effectiveness of spatial planning strategies to reduce the impact on residents. However, negative impacts occurred in areas further afield from the incinerator, suggesting that more can be done to minimise the impacts of incinerators. The results also suggest that in some case the incinerator increased the value of houses within a specified distance of incinerators under specific circumstances, which requires further investigation.
SUBSPACE SEARCH METHOD FOR A CLASS OF LEAST SQUARES PROBLEM
Zi-Luan Wei
2000-01-01
A subspace search method for solving a class of least squares problem is pre sented in the paper. The original problem is divided into many independent sub problems, and a search direction is obtained by solving each of the subproblems, as well as a new iterative point is determined by choosing a suitable steplength such that the value of residual norm is decreasing. The convergence result is also given. The numerical test is also shown for a special problem,
A Study on the Determination of the World Crude Oil Price and Methods for Its Forecast
Kim, J.K. [Korea Energy Economics Institute, Euiwang (Korea)
2001-11-01
The primary purpose of this report is to provide the groundwork to develop the methods to forecast the world crude oil price. The methodology is used by both literature survey and empirical study. For this purpose, first of all, this report reviewed the present situation and the outlook of the world oil market based on oil demand, supply and prices. This analysis attempted to provide a deeper understanding to support the development of oil forecasting methods. The result of this review, in general, showed that the oil demand will be maintained annually at an average rate of around 2.4% under assumption that oil supply has no problem until 2020. The review showed that crude oil price will be a 3% increasing rate annually in the 1999 real term. This report used the contents of the summary review as reference data in order to link the KEEIOF model. In an effort to further investigate the contents of oil political economy, this report reviewed the articles of political economy about oil industry. It pointed out that the world oil industry is experiencing the change of restructuring oil industry after the Gulf War in 1990. The contents of restructuring oil industry are characterized by the 'open access' to resources not only in the Persian Gulf, but elsewhere in the world as well - especially the Caspian Sea Basin. In addition, the contents showed that the oil industries are shifted from government control to government and industry cooperation after the Gulf War. In order to examine the characters and the problems surrounding oil producing countries, this report described the model of OPEC behavior and strategy of oil management with political and military factors. Among examining the models of OPEC behavior, this report focused on hybrid model to explain OPEC behavior. In reviewing political and religious power structure in the Middle East, the report revealed that US emphasizes the importance of the Middle East for guaranteeing oil security. However, three
Methods for the rapid solution of the pricing PIDEs in exponential and Merton models
Mayo, Anita
2008-12-01
The pricing equations for options on assets that follow jump-diffusion processes contain integrals in addition to the usual differential terms. These integrals usually make such equations expensive to solve numerically. Although Fast Fourier Transform methods can be used to to evaluate the integrals at all mesh points simultaneously, they are costly since the computational region must be extended in order to avoid problems with wrap around. Other numerical difficulties arise when the density function for the jump size is not smooth, as in the Kou double exponential model. We present new solution methods which are based on the fact that even when the problems contain time-dependent parameters the integrals often satisfy easily solved ordinary or parabolic partial differential equations. In particular, we show that by using the operator splitting method proposed by Andersen and Andreasen it is possible to reduce the solution of the pricing equation in the Kou and similar models to a sequence of ordinary differential equations at each time step. We discuss the methods and present results of numerical experiments.
Calibrating E-values for MS2 database search methods
Shen Rong-Fong
2007-11-01
Full Text Available Abstract Background The key to mass-spectrometry-based proteomics is peptide identification, which relies on software analysis of tandem mass spectra. Although each search engine has its strength, combining the strengths of various search engines is not yet realizable largely due to the lack of a unified statistical framework that is applicable to any method. Results We have developed a universal scheme for statistical calibration of peptide identifications. The protocol can be used for both de novo approaches as well as database search methods. We demonstrate the protocol using only the database search methods. Among seven methods -SEQUEST (v27 rev12, ProbID (v1.0, InsPecT (v20060505, Mascot (v2.1, X!Tandem (v1.0, OMSSA (v2.0 and RAId_DbS – calibrated, except for X!Tandem and RAId_DbS most methods require a rescaling according to the database size searched. We demonstrate that our calibration protocol indeed produces unified statistics both in terms of average number of false positives and in terms of the probability for a peptide hit to be a true positive. Although both the protocols for calibration and the statistics thus calibrated are universal, the calibration formulas obtained from one laboratory with data collected using either centroid or profile format may not be directly usable by the other laboratories. Thus each laboratory is encouraged to calibrate the search methods it intends to use. We also address the importance of using spectrum-specific statistics and possible improvement on the current calibration protocol. The spectra used for statistical (E-value calibration are freely available upon request. Open peer review Reviewed by Dongxiao Zhu (nominated by Arcady Mushegian, Alexey Nesvizhskii (nominated by King Jordan and Vineet Bafna. For the full reviews, please go to the Reviewers' comments section.
Wei Li
2013-03-01
Full Text Available Purpose: With the rapid progress of Internet of Things technology, the information service of IoT has got unprecedented development, and plays an increasingly important role in real life. For the increasing demand of information service, the pricing of information service becomes more important. This paper aims to analyze the strategic options and payoff function between information provider and intermediaries based on Stackelberg game. Firstly, we describe information service delivery method based on the Internet of Things specific function. Secondly, we calculate the consumer demand for the information service. Finally, we explain two kinds of strategic options by the game theory, and then discuss the optimal pricing method of information services based on profit maximization.Design/methodology/approach: To achieve this objective, Considering the consumer perceived value of Internet of Things Service changing, we establish a Stackelberg model in which the supplier is the leader followed by the middleman. Then, we compare the advantages of using individual pricing with that of bundling pricing.Findings: The results show that whether information providers adopt bundling pricing strategy or individual pricing strategy depends on the cost of perception equipment, if information providers want to adopt individual pricing strategy, the variation of consumers’ perception value of information services must meet certain conditions.Research limitations/implications: the providers make price for the information service, in addition to continuously improve the quality of information service, it also devotes resources to tapping and understanding market information, such as the sensor device price, the variation of perception value of information services and so on, so as to create competitive advantage. This paper is just a preliminary model, it does not take into account the effect of mixed bundling.Originality/value: In this research, a new model for
A Generalized Schwartz Model for Energy Spot Prices - Estimation using a Particle MCMC Method
Lunde, Asger; Brix, Anne Floor; Wei, Wei
We propose an energy spot price model featuring a two-factor price process and a two-component stochastic volatility process. The first factor in the price process captures the normal variations; the second accounts for spikes. The two-component volatility allows for a flexible autocorrelation st...
Theoretical Analysis of Heuristic Search Methods for Online POMDPs.
Ross, Stéphane; Pineau, Joelle; Chaib-Draa, Brahim
2008-01-01
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have also been proposed recently, and proven to be remarkably scalable, but without the theoretical guarantees of their offline counterparts. Thus it seems natural to try to unify offline and online techniques, preserving the theoretical properties of the former, and exploiting the scalability of the latter. In this paper, we provide theoretical guarantees on an anytime algorithm for POMDPs which aims to reduce the error made by approximate offline value iteration algorithms through the use of an efficient online searching procedure. The algorithm uses search heuristics based on an error analysis of lookahead search, to guide the online search towards reachable beliefs with the most potential to reduce error. We provide a general theorem showing that these search heuristics are admissible, and lead to complete and ε-optimal algorithms. This is, to the best of our knowledge, the strongest theoretical result available for online POMDP solution methods. We also provide empirical evidence showing that our approach is also practical, and can find (provably) near-optimal solutions in reasonable time.
Robert J. Quinlan
2016-10-01
Full Text Available We examine metabolic, market, and symbolic values of livestock relative to cultural “positioning” by gender, marriage, and household production among Maasai people in Simanjiro, Tanzania to assess local “proximate currencies” relevant for “cultural success.” Data from mixed methods ethnographic research include qualitative interviews since 2012, observation of 85 livestock market sales in 2013 and 2015, and 37 short key informant interviews in 2015. We examine fit between market values, Tropical Livestock Units (TLU, weight-based species exchange ratio, and perceived value from interviews for moran (unmarried men, muruo (married men, and tɔmɔnɔ́k (married women. Hedonic regression using livestock species, sex, maturity, and size accounted for 90% of the local market price of livestock. We compared the market-based exchange ratio between cattle and smallstock (sheep and goats to TLU and perceived values situating symbolic value of cattle in terms of Maasai household production schema. One TLU model accurately predicted market exchange ratios, while another predicted hypothetical exchanges, suggesting need for improved livestock wealth estimation for pastoralists. Ritual context, subsistence work, and cultural position influenced perceived values: Moran overvalued cattle by 100% of the local market value. Tɔmɔnɔ́k accurately perceived the market exchange ratio despite never directly engaging in livestock market transactions. Muruo perceived exchange ratios intermediate between moran and tɔmɔnɔ́k. We argue that these perceptions of value reflect distinct labor responsibilities of moran, muruo, and tɔmɔnɔ́k in livestock management, differential value of bridewealth, and control of meat and milk.Attention to value of different livestock species in cultural models of production may prove useful for development efforts.
Price strategy and pricing strategy: terms and content identification
Panasenko Tetyana
2015-11-01
Full Text Available The article is devoted to the terminology and content identification of seemingly identical concepts "price strategy" and "pricing strategy". The article contains evidence that the price strategy determines the direction, principles and procedure of implementing the company price policy and pricing strategy creates a set of rules and practical methods of price formation in accordance with the pricing strategy of the company.
The commission errors search and assessment (CESA) method
Reer, B.; Dang, V. N
2007-05-15
Errors of Commission (EOCs) refer to the performance of inappropriate actions that aggravate a situation. In Probabilistic Safety Assessment (PSA) terms, they are human failure events that result from the performance of an action. This report presents the Commission Errors Search and Assessment (CESA) method and describes the method in the form of user guidance. The purpose of the method is to identify risk-significant situations with a potential for EOCs in a predictive analysis. The main idea underlying the CESA method is to catalog the key actions that are required in the procedural response to plant events and to identify specific scenarios in which these candidate actions could erroneously appear to be required. The catalog of required actions provides a basis for a systematic search of context-action combinations. To focus the search towards risk-significant scenarios, the actions that are examined in the CESA search are prioritized according to the importance of the systems and functions that are affected by these actions. The existing PSA provides this importance information; the Risk Achievement Worth or Risk Increase Factor values indicate the systems/functions for which an EOC contribution would be more significant. In addition, the contexts, i.e. PSA scenarios, for which the EOC opportunities are reviewed are also prioritized according to their importance (top sequences or cut sets). The search through these context-action combinations results in a set of EOC situations to be examined in detail. CESA has been applied in a plant-specific pilot study, which showed the method to be feasible and effective in identifying plausible EOC opportunities. This experience, as well as the experience with other EOC analyses, showed that the quantification of EOCs remains an issue. The quantification difficulties and the outlook for their resolution conclude the report. (author)
Using Pattern Search Methods for Surface Structure Determinationof Nanomaterials
Zhao, Zhengji; Meza, Juan; Van Hove, Michel
2006-06-09
Atomic scale surface structure plays an important roleindescribing many properties of materials, especially in the case ofnanomaterials. One of the most effective techniques for surface structuredetermination is low-energy electron diffraction (LEED), which can beused in conjunction with optimization to fit simulated LEED intensitiesto experimental data. This optimization problem has a number ofcharacteristics that make it challenging: it has many local minima, theoptimization variables can be either continuous or categorical, theobjective function can be discontinuous, there are no exact analyticderivatives (and no derivatives at all for categorical variables), andfunction evaluations are expensive. In this study, we show how to apply aparticular class of optimization methods known as pattern search methodsto address these challenges. These methods donot explicitly usederivatives, and are particularly appropriate when categorical variablesare present, an important feature that has not been addressed in previousLEED studies. We have found that pattern search methods can produceexcellent results, compared to previously used methods, both in terms ofperformance and locating optimal results.
ACCOUNTING ASPECTS OF PRICING AND TRANSFER PRICING
TÜNDE VERES
2011-01-01
Full Text Available The pricing methods in practice need really complex view of the business situation and depend on the strategy and market position of a company. The structure of a price seems simple: cost plus margin. Both categories are special area in the management accounting. Information about the product costs, the allocation methodologies in cost accounting, the analyzing of revenue and different level of the margin needs information from accounting system. This paper analyzes the pricing methods from management accounting aspects to show out the role of the accounting system in the short term and long term pricing and transfer pricing decisions.
TRANSFER PRICING AS A TOOLFOR FINANCIAL ANALYSIS OFENTERPRISES
Alexey S. Besfamilnyy
2015-01-01
Full Text Available The article outlines the basics of using transfer pricing methods applied to the financial analysis of the enterprise. It focuses on the application of transfer pricing methods not only over prices control between related organizations, but for analysis of the financial performance of companies. It proposes to use comparison of profitability of comparable companies during the reporting period. Shows an approach for the search and selection of comparable companies using information systems SPARKS or Bureau van Dijk. It analysis some examples in which the methodology is applicable transfer pricing as a tool of financial analysis.
AN IMPROVED SEARCH-EXTENTION METHOD FOR SOLVING SEMILINEAR PDES
无
2006-01-01
This article will combine the finite element method, the interpolated coefficient finite element method, the eigenfunction expansion method, and the search-extension method to obtain the multiple solutions for semilinear elliptic equations. This strategy not only grently reduces the expensive computation, but also is successfully implemented to obtain multiple solutions for a class of semilinear elliptic boundary value problems with non-odd nonlinearity on some convex or nonconvex domains. Numerical solutions illustrated by their graphics for visualization will show the efficiency of the approach.
Study on boundary search method for DFM mesh generation
Li Ri
2012-08-01
Full Text Available The boundary mesh of the casting model was determined by direct calculation on the triangular facets extracted from the STL file of the 3D model. Then the inner and outer grids of the model were identified by the algorithm in which we named Inner Seed Grid Method. Finally, a program to automatically generate a 3D FDM mesh was compiled. In the paper, a method named Triangle Contraction Search Method (TCSM was put forward to ensure not losing the boundary grids; while an algorithm to search inner seed grids to identify inner/outer grids of the casting model was also brought forward. Our algorithm was simple, clear and easy to construct program. Three examples for the casting mesh generation testified the validity of the program.
Exploration of Stellarator Configuration Space with Global Search Methods
H.E. Mynick; N. Pomphrey; S. Ethier
2001-09-10
An exploration of stellarator configuration space z for quasi-axisymmetric stellarator (QAS) designs is discussed, using methods which provide a more global view of that space. To this end, we have implemented a ''differential evolution'' (DE) search algorithm in an existing stellarator optimizer, which is much less prone to become trapped in local, suboptimal minima of the cost function chi than the local search methods used previously. This search algorithm is complemented by mapping studies of chi over z aimed at gaining insight into the results of the automated searches. We find that a wide range of the attractive QAS configurations previously found fall into a small number of classes, with each class corresponding to a basin of chi(z). We develop maps on which these earlier stellarators can be placed, the relations among them seen, and understanding gained into the physics differences between them. It is also found that, while still large, the region of z space containing practically realizable QAS configurations is much smaller than earlier supposed.
Adnan AKIN
2013-06-01
Full Text Available The number of the food and beverage businesses is getting higher day by day. As a result of this, an intensive competition is seen. That the businesses are based on labor-intensive and capital and that the products which are produced in businesses can’t be stocked and weakness of them and also the rivalry between the businesses make pricing important. Because of this reason, during the pricing products which are produced by businesses , determining a right method and applying it is important for the future of the business. The main purpose of this study is to specify the methods which are applied pricing the products which are produced by food and beverage services having tourism certified. In southeast’s largest province Gaziantep, a survey was conducted by using face to face method in order to determine about tourism certified business pricing with status of current all of the business(18 pieces. And by using surveys results, frequency distributions were examined and as part of 5 points Likert analyze, it was determined that the businesses apply methods which are intended to profit and cost. And also the owners and administrators who joined survey are not sure about whether place of the business has an importance on pricing or not
Levent, Korap
2009-01-01
In this paper, we aim to test the empirical validity of the QTM relationship for the Turkish economy. Using some contemporaneous time series estimation techniques, our estimation results reveal that stationarity characteristics of the velocities of currency in circulation and the broad money aggregate in the economy cannot be rejected through a quantity theoretical co-integrating long-term variable space. We find that there exists an about one-to-one proportionality between money and prices a...
Saatçioğlu Cem; Korap Levent
2009-01-01
In this paper, we aim to test the empirical validity of the QTM relationship for the Turkish economy. Using some contemporaneous time series estimation techniques, our estimation results reveal that stationarity characteristics of the velocities of currency in circulation and the broad money aggregate in the economy cannot be rejected through a quantity theoretical co-integrating long-term variable space. We find that there exists an about one-to-one proportionality between money and prices a...
Fabiana Sciarelli
2015-12-01
to public or private funds (fixed incomes. Many not-for-profit companies also have structural constraints, such as the seats in a theatre. This does not allow a change in the quantity produced to reduce the unit price without necessarily sacrificing the service quality. So, not-for-profit companies, to achieve their mission, that is to increase the diffusion of the produced service keeping economic balance, having the constraint of defined produced and sold quantities, but accessing funds, must necessarily reduce the most they can access barriers for consumers, mainly prices. The features of cultural companies, and the consequent inadequacy of traditional pricing methods, lead us to use the BEP as the theoretical basis of an innovative method for the definition of equilibrium price, that is the lowest price the company can charge the user to recover the total costs and, so, to survive.
Bayesian methods in the search for MH370
Davey, Sam; Holland, Ian; Rutten, Mark; Williams, Jason
2016-01-01
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
Novel Local Search Method for the Traveling Salesman Problem
Huang Wenqi; Wang Lei
2005-01-01
A new local search method for the traveling salesman problem based on an original greedy representation of solution space and neighborhood structure is proposed. First, a partial closed route that only consists of three cities is given; then other cities are added to this route by a greedy procedure successively. Implemented on a personal computer, this algorithm finds optimal solutions for 24 out of 27 standard benchmarks, and outperforms the Full Subpath Ejection Algorithm (F-SEC) proposed by Rego in 1998.
The Gaussian CLs method for searches of new physics
Qian, X.; Tan, A.; Ling, J. J.; Nakajima, Y.; Zhang, C.
2016-08-01
We describe a method based on the CLs approach to present results in searches of new physics, under the condition that the relevant parameter space is continuous. Our method relies on a class of test statistics developed for non-nested hypotheses testing problems, denoted by ΔT, which has a Gaussian approximation to its parent distribution when the sample size is large. This leads to a simple procedure of forming exclusion sets for the parameters of interest, which we call the Gaussian CLs method. Our work provides a self-contained mathematical proof for the Gaussian CLs method that explicitly outlines the required conditions. These conditions are milder than that required by Wilks' theorem to set confidence intervals (CIs). We illustrate the Gaussian CLs method in an example of searching for a sterile neutrino, where the CLs approach was rarely used before. We also compare data analysis results produced by the Gaussian CLs method and various CI methods to showcase their differences.
Entropy correlation distance method. The Euro introduction effect on the Consumer Price Index
Miśkiewicz, Janusz
2010-04-01
The idea of entropy was introduced in thermodynamics, but it can be used in time series analysis. There are various ways to define and measure the entropy of a system. Here the so called Theil index, which is often used in economy and finance, is applied as it were an entropy measure. In this study the time series are remapped through the Theil index. Then the linear correlation coefficient between the remapped time series is evaluated as a function of time and time window size and the corresponding statistical distance is defined. The results are compared with the the usual correlation distance measure for the time series themselves. As an example this entropy correlation distance method (ECDM) is applied to several series, as those of the Consumer Price Index (CPI) in order to test some so called globalisation processes. Distance matrices are calculated in order to construct two network structures which are next analysed. The role of two different time scales introduced by the Theil index and a correlation coefficient is also discussed. The evolution of the mean distance between the most developed countries is presented and the globalisation periods of the prices discussed. It is finally shown that the evolution of mean distance between the most developed countries on several networks follows the process of introducing the European currency - the Euro. It is contrasted to the GDP based analysis. It is stressed that the entropy correlation distance measure is more suitable in detecting significant changes, like a globalisation process than the usual statistical (correlation based) measure.
Convergence Studies on Monte Carlo Methods for Pricing Mortgage-Backed Securities
Tao Pang
2015-05-01
Full Text Available Monte Carlo methods are widely-used simulation tools for market practitioners from trading to risk management. When pricing complex instruments, like mortgage-backed securities (MBS, strong path-dependency and high dimensionality make the Monte Carlo method the most suitable, if not the only, numerical method. In practice, while simulation processes in option-adjusted valuation can be relatively easy to implement, it is a well-known challenge that the convergence and the desired accuracy can only be achieved at the cost of lengthy computational times. In this paper, we study the convergence of Monte Carlo methods in calculating the option-adjusted spread (OAS, effective duration (DUR and effective convexity (CNVX of MBS instruments. We further define two new concepts, absolute convergence and relative convergence, and show that while the convergence of OAS requires thousands of simulation paths (absolute convergence, only hundreds of paths may be needed to obtain the desired accuracy for effective duration and effective convexity (relative convergence. These results suggest that practitioners can reduce the computational time substantially without sacrificing simulation accuracy.
Szanduła Jacek
2014-06-01
Full Text Available The paper develops the concept of harnessing data classification methods to recognize patterns in stock prices. The author defines a formation as a pattern vector describing the financial instrument. Elements of such a vector can be related to the stock price as well as sales volume and other characteristics of the financial instrument. The study uses data concerning selected companies listed on the stock exchange in New York. It takes into account a number of variables that describe the behavior of prices and volume, both in the short and long term. Partitioning around medoids method has been used for data classification (for pattern recognition. An evaluation of the possibility of using certain formations for practical purposes has also been presented.
Matched-filtering Line Search Methods Applied to Suzaku Data
Miyazaki, Naoto; Enoto, Teruaki; Axelsson, Magnus; Ohashi, Takaya
2016-01-01
A detailed search for emission and absorption lines and assessing their upper limits are performed for Suzaku data. The method utilizes a matched-filtering approach to maximize the signal-to-noise ratio for a given energy resolution, which could be applicable to many types of line search. We first applied it to well-known AGN spectra that have been reported to have ultra-fast outflows, and find that our results are consistent with previous findings at the ~3{\\sigma} level. We proceeded to search for emission and absorption features in the two bright magnetars 4U 0142+61 and 1RXS J1708-4009, applying the filtering method to Suzaku data. We found that neither source showed any significant indication of line features, even using long Suzaku observations and dividing their spectra into spin phases. The upper limits on the equivalent width of emission/absorption lines are constrained to be a few eV at ~1 keV, and a few hundreds of eV at ~10 keV. This strengthens previous reports that persistently bright magnetars ...
ACCOUNTING ASPECTS OF PRICING AND TRANSFER PRICING
TÜNDE VERES
2011-01-01
The pricing methods in practice need really complex view of the business situation and depend on the strategy and market position of a company. The structure of a price seems simple: cost plus margin. Both categories are special area in the management accounting. Information about the product costs, the allocation methodologies in cost accounting, the analyzing of revenue and different level of the margin needs information from accounting system. This paper analyzes the pricing methods from m...
Accounting Aspects of Pricing and Transfer Pricing
TÜNDE VERES
2011-01-01
The pricing methods in practice need really complex view of the business situation and depend on the strategy and market position of a company. The structure of a price seems simple: cost plus margin. Both categories are special area in the management accounting. Information about the product costs, the allocation methodologies in cost accounting, the analyzing of revenue and different level of the margin needs information from accounting system. This paper analyzes the pricing methods from m...
SELECTING THE WAY OF MEASURING THE PRICE EVOLUTION USING THE METHOD OF INDICES
Mihai GHEORGHE
2012-09-01
Full Text Available The price indices have a long history and a large variety of uses, from the adjustment of the wages, pensions and payments included in a long-term contract, the deflation of aggregates in National Accounts, to the elaboration of economic policies.Having identified the purpose of the index, we`ll have to choose the target index and the calculation formula, this operation being carried out based on the observed prices and on the quantity and quality weights.In the statistical practice, the price index is often calculated by aggregating the elementary indices using the weighted arithmetic mean, using annual weights from a period that is previous to the reference period.In this situation, the question about the possible impact of the weights update (by prices on the interpretation of price indices becomes legitimate, also the question about the influence of using this approach on measuring the price change. We can get a possible answer to this question using the Lowe and Young indices introduced by the Consumer Price Index international manual.
The Interval Slope Method for Long-Term Forecasting of Stock Price Trends
Chun-xue Nie
2016-01-01
Full Text Available A stock price is a typical but complex type of time series data. We used the effective prediction of long-term time series data to schedule an investment strategy and obtain higher profit. Due to economic, environmental, and other factors, it is very difficult to obtain a precise long-term stock price prediction. The exponentially segmented pattern (ESP is introduced here and used to predict the fluctuation of different stock data over five future prediction intervals. The new feature of stock pricing during the subinterval, named the interval slope, can characterize fluctuations in stock price over specific periods. The cumulative distribution function (CDF of MSE was compared to those of MMSE-BC and SVR. We concluded that the interval slope developed here can capture more complex dynamics of stock price trends. The mean stock price can then be predicted over specific time intervals relatively accurately, in which multiple mean values over time intervals are used to express the time series in the long term. In this way, the prediction of long-term stock price can be more precise and prevent the development of cumulative errors.
A systematic method for search term selection in systematic reviews.
Thompson, Jenna; Davis, Jacqueline; Mazerolle, Lorraine
2014-06-01
The wide variety of readily available electronic media grants anyone the freedom to retrieve published references from almost any area of research around the world. Despite this privilege, keeping up with primary research evidence is almost impossible because of the increase in professional publishing across disciplines. Systematic reviews are a solution to this problem as they aim to synthesize all current information on a particular topic and present a balanced and unbiased summary of the findings. They are fast becoming an important method of research across a number of fields, yet only a small number of guidelines exist on how to define and select terms for a systematic search. This article presents a replicable method for selecting terms in a systematic search using the semantic concept recognition software called leximancer (Leximancer, University of Queensland, Brisbane, Australia). We use this software to construct a set of terms from a corpus of literature pertaining to transborder interventions for drug control and discuss the applicability of this method to systematic reviews in general. This method aims to contribute a more 'systematic' approach for selecting terms in a manner that is entirely replicable for any user.
Improved Maximum Entropy Method with an Extended Search Space
Rothkopf, Alexander
2012-01-01
We report on an improvement to the implementation of the Maximum Entropy Method (MEM). It amounts to departing from the search space obtained through a singular value decomposition (SVD) of the Kernel. Based on the shape of the SVD basis functions we argue that the MEM spectrum for given $N_\\tau$ data-points $D(\\tau)$ and prior information $m(\\omega)$ does not in general lie in this $N_\\tau$ dimensional singular subspace. Systematically extending the search basis will eventually recover the full search space and the correct extremum. We illustrate this idea through a mock data analysis inspired by actual lattice spectra, to show where our improvement becomes essential for the success of the MEM. To remedy the shortcomings of Bryan's SVD prescription we propose to use the real Fourier basis, which consists of trigonometric functions. Not only does our approach lead to more stable numerical behavior, as the SVD is not required for the determination of the basis functions, but also the resolution of the MEM beco...
Saatçioğlu Cem
2009-01-01
Full Text Available In this paper, we aim to test the empirical validity of the QTM relationship for the Turkish economy. Using some contemporaneous time series estimation techniques, our estimation results reveal that stationarity characteristics of the velocities of currency in circulation and the broad money aggregate in the economy cannot be rejected through a quantity theoretical co-integrating long-term variable space. We find that there exists an about one-to-one proportionality between money and prices and money and real income, and that exogeneity of money cannot be rejected for the currency in circulation in the economy. But, the exception here comes from the broad monetary aggregate used in the QTM equation such that money seems to be endogenous as for the long-term variable space.
48 CFR 514.270-7 - Guidelines for using the price list method.
2010-10-01
... from the list prices for each group. Require the bidder to quote only one percentage factor for each... of hours and days of the week. (5) Advise bidders of the previous year's total expenditures...
NEW METHOD TO OPTION PRICING FOR THE GENERAL BLACK-SCHOLES MODEL-AN ACTUARIAL APPROACH
闫海峰; 刘三阳
2003-01-01
Using physical probability measure of price process and the principle of fairpremium, the results of Mogers Bladt and Hina Hviid Rydberg are generalized. In twocases of paying intermediate divisends and no intermediate dividends, the Black-Scholesmodel is generalized to the case where the risk-less asset (bond or bank account) earns atime-dependent interest rate and risk asset (stock) has time-dependent the continuouslycompounding expected rate of return, volatility. In these cases the accurate pricing formulaand put- call parity of European option are obtained. The general approach of option pricingis given for the general Black-Scholes of the risk asset (stock) has the continuouslycompounding expected rate of return, volatility. The accurate pricing formula and put- callparity of European option on a stock whose price process is driven by general Ornstein-Uhlenback (O-U) process are given by actuarial approach.
New procedure for criticality search using coarse mesh nodal methods
Pereira, Wanderson F.; Silva, Fernando C. da; Martinez, Aquilino S., E-mail: wneto@con.ufrj.b, E-mail: fernando@con.ufrj.b, E-mail: Aquilino@lmp.ufrj.b [Coordenacao dos Programas de Pos-Graduacao de Engenharia (PEN/COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear
2011-07-01
The coarse mesh nodal methods have as their primary goal to calculate the neutron flux inside the reactor core. Many computer systems use a specific form of calculation, which is called nodal method. In classical computing systems that use the criticality search is made after the complete convergence of the iterative process of calculating the neutron flux. In this paper, we proposed a new method for the calculation of criticality, condition which will be over very iterative process of calculating the neutron flux. Thus, the processing time for calculating the neutron flux was reduced by half compared with the procedure developed by the Nuclear Engineering Program of COPPE/UFRJ (PEN/COPPE/UFRJ). (author)
Internet resource pricing models
Xu, Ke; He, Huan
2013-01-01
This brief guides the reader through three basic Internet resource pricing models using an Internet cost analysis. Addressing the evolution of service types, it presents several corresponding mechanisms which can ensure pricing implementation and resource allocation. The authors discuss utility optimization of network pricing methods in economics and underline two classes of pricing methods including system optimization and entities' strategic optimization. The brief closes with two examples of the newly proposed pricing strategy helping to solve the profit distribution problem brought by P2P
Pricing Objectives and Strategies Retail Price: An Empirical Analysis São Paulo Retail
Carlos Alberto Alves
2011-12-01
Full Text Available In retail, managers have a delicate and complex task in formulating their pricing strategies considering the multiple products and services available. While the price targets provide an overall direction for action, the pricing strategies are the steps or procedures by which organizations achieve their pricing decisions. The scope of this paper is to explore the goals of prices that retailers are seeking along with the strategies they adopt to price their products and services and investigate whether price targets are associated with the pricing strategies adopted. To meet the objectives of this study, we chose to conduct a search using a quantitative-descriptive survey. The sample is not probabilistic and to the advantage of the researchers. It consists of 300 retail companies of all sizes located in São Paulo city. As a result it was found that the sample companies are pursuing goals primarily quantitative rather than qualitative, with a strong emphasis on making sales and profits followed by the market development for the organization. Another important point in the discussion of strategies within retail firms in the sample seems to give less attention to a customer-oriented method. These companies most often employ the traditional costs, probably due to the simplicity of this method.
胡文伟; 李湛
2012-01-01
运用二叉树方法建立了障碍期权与标准期权之间的价差分析模型，并分析了影响价差的若干关键因素．结果表明，障碍期权的价值低于对应的标准期权；对于下降敲出看涨期权，若障碍值或行权价越高、有效期越长、标的物的价格越低、其期望收益率越小、波动率越大，则障碍期权与标准期权的价差越大．%The binomial pricing method was adopted to build a pricing model for the value difference between barrier and vanilla options which are different only in barrier, as well as the impacts of several key factors on the price difference. The outcomes indicate that the value of the barrier option is lower than that of the vanillar option. Moreover, for the down-and-out call options, the price difference gets bigger with any of the situations which are higher barrier, higher call price, longer maturity, lower underlying asset price, and smaller expected return rate or bigger volatility of the underlying asset price.
Beheshti, Rahmatollah; Jones-Smith, Jessica C; Igusa, Takeru
2017-01-01
Computational models have gained popularity as a predictive tool for assessing proposed policy changes affecting dietary choice. Specifically, they have been used for modeling dietary changes in response to economic interventions, such as price and income changes. Herein, we present a novel addition to this type of model by incorporating habitual behaviors that drive individuals to maintain or conform to prior eating patterns. We examine our method in a simulated case study of food choice behaviors of low-income adults in the US. We use data from several national datasets, including the National Health and Nutrition Examination Survey (NHANES), the US Bureau of Labor Statistics and the USDA, to parameterize our model and develop predictive capabilities in 1) quantifying the influence of prior diet preferences when food budgets are increased and 2) simulating the income elasticities of demand for four food categories. Food budgets can increase because of greater affordability (due to food aid and other nutritional assistance programs), or because of higher income. Our model predictions indicate that low-income adults consume unhealthy diets when they have highly constrained budgets, but that even after budget constraints are relaxed, these unhealthy eating behaviors are maintained. Specifically, diets in this population, before and after changes in food budgets, are characterized by relatively low consumption of fruits and vegetables and high consumption of fat. The model results for income elasticities also show almost no change in consumption of fruit and fat in response to changes in income, which is in agreement with data from the World Bank's International Comparison Program (ICP). Hence, the proposed method can be used in assessing the influences of habitual dietary patterns on the effectiveness of food policies.
A Rapid Grid Search Method for Solving Dynamic Programming Problems in Economics
Hui He; Hao Zhang
2013-01-01
We introduce a rapid grid search method in solving dynamic programming problems in economics. Compared to mainstream grid search methods, by using local information of the Bellman equation, this method can significantly increase the efficiency in solving dynamic programming problems by reducing the grid points searched in the control space.
A Note on a Rapid Grid Search Method for Solving Dynamic Programming Problems in Economics
Hui He; Hao Zhang
2010-01-01
We introduce a rapid grid search method in solving the dynamic programming problems in economics. Compared to mainstream grid search methods, by using local information of the Bellman equation, this method can significantly increase the efficiency in solving dynamic programming problems by reducing the grid points searched in the control space.
Dynamic Price Dispersion of Storable Goods
Gao, Cixiu
2015-01-01
In this paper I provide an analytical model for the rationale behind supermarket pricing patterns characterized by long-term high prices and temporary price reductions. Based on the understanding that temporary price reductions serve the role of price discrimination between consumers with different...... search costs and willingness to wait, I construct a dynamic model of oligopoly retailers selling a homogeneous storable good. The model takes into account consumer heterogeneity with respect to search cost, inventory cost, and store loyalty. I demonstrate that the high-price-low-price pattern is rational...... for storable goods. In a Markov-perfect equilibrium, agents’ actions depend on consumer inventory, and purchase decisions are characterized by a critical price. The equilibrium price series consists of one-time price reductions and several consecutive periods in which all retailers offer the regular price...
The DY Conjugate Gradient Method with Armijo-type Line Searches
ShujunLian; ChangyuWang
2004-01-01
Two Armijo-type line searches are proposed in this paper for nonlinear conjugate gradient methods. The two Armijo-type line searches are shown to guarantee the global convergence of the DY method for the unconstrained minimization of nonconvex differentiable functions. Further, if the function is strictly convex, the two Armijo-type line searches and another Armijo-type line search are also shown to guarantee the convergence of the DY method.
Gillespie, James A; Quinn, Casey
2012-01-01
Background This is a methodological study investigating the online responses to a national debate over an important health and social problem in Russia. Russia is the largest Internet market in Europe, exceeding Germany in the absolute number of users. However, Russia is unusual in that the main search provider is not Google, but Yandex. Objective This study had two main objectives. First, to validate Yandex search patterns against those provided by Google, and second, to test this method's adequacy for investigating online interest in a 2010 national debate over Russian illicit drug policy. We hoped to learn what search patterns and specific search terms could reveal about the relative importance and geographic distribution of interest in this debate. Methods A national drug debate, centering on the anti-drug campaigner Egor Bychkov, was one of the main Russian domestic news events of 2010. Public interest in this episode was accompanied by increased Internet search. First, we measured the search patterns for 13 search terms related to the Bychkov episode and concurrent domestic events by extracting data from Google Insights for Search (GIFS) and Yandex WordStat (YaW). We conducted Spearman Rank Correlation of GIFS and YaW search data series. Second, we coded all 420 primary posts from Bychkov's personal blog between March 2010 and March 2012 to identify the main themes. Third, we compared GIFS and Yandex policies concerning the public release of search volume data. Finally, we established the relationship between salient drug issues and the Bychkov episode. Results We found a consistent pattern of strong to moderate positive correlations between Google and Yandex for the terms "Egor Bychkov" (r s = 0.88, P drug addiction" (r s = .74, P drug addiction" (r s = .68, P problems. The Russian Federation, with its large, geographically dispersed, and politically engaged online population presents unique opportunities for studying the evolving influence of the Internet
欧式期权定价的Monte-Carlo方法%Monte-Carlo methods for Pricing European-style options
张丽虹
2015-01-01
We discuss Monte-Carlo methods for pricing European options.Based on the famous Black-Scholes model,we first discuss the Monte-Carlo simulation method to pricing standard European options according to Risk neutral theory.Methods to improve the Monte-Carlo simulation performance including introducing control variates and antithetic variates are also discussed.Finally we apply the proposed Monte-Carlo methods to price the European binary options,European lookback options and European Asian options.%讨论各种欧式期权价格的Monte-Carlo方法。根据Black-Scholes期权定价模型以及风险中性理论，首先详细地讨论如何利用Monte-Carlo方法来计算标准欧式期权价格；然后讨论如何引入控制变量以及对称变量来提高Monte-Carlo方法的精确性；最后用Monte-Carlo方法来计算标准欧式期权、欧式—两值期权、欧式—回望期权以及欧式—亚式期权的价格，并讨论相关方法的优缺点。
土地价格评估方法的探讨%Exploration on Land Price Assessment Method
曹水林
2011-01-01
The land in modern society is an important economic resources,land development is the important national economy,land income national revenue is an important component of the land transactions frequent,scientific and reasonable land price valu-ation method is to land fair trade important tools,so discuss the land price evaluation method is practical significance.%现代社会,土地是一个重要的经济资源,土地开发是国家重要的经济,土地收入,国家财政收入的重要组成部分的土地交易频繁,科学合理的土地价格估价方法,是土地的公平贸易的重要工具,所以本文讨论了土地价格评估方法的现实意义。
Shahriar Afandizadeh Zargari
2016-12-01
Full Text Available This paper presents a two-stage model of optimization as a quick method to choose the best potential links for implementing urban travel demand management (UTDM strategy like road pricing. The model is optimized by minimizing the hidden cost of congestion based on user equilibrium (MHCCUE. It forecasts the exact amount of flows and tolls for links in user equilibrium condition to determine the hidden cost for each link to optimize the link selection based on the network congestion priority. The results show that not only the amount of total cost is decreased, but also the number of selected links for pricing is reduced as compared with the previous toll minimization methods. Moreover, as this model just uses the traffic assignment data for calculation, it could be considered as a quick and optimum solution for choosing the potential links.
Forecasting of palm oil price in Malaysia using linear and nonlinear methods
Nor, Abu Hassan Shaari Md; Sarmidi, Tamat; Hosseinidoust, Ehsan
2014-09-01
The first question that comes to the mind is: "How can we predict the palm oil price accurately?" This question is the authorities, policy makers and economist's question for a long period of time. The first reason is that in the recent years Malaysia showed a comparative advantage in palm oil production and has become top producer and exporter in the world. Secondly, palm oil price plays significant role in government budget and represents important source of income for Malaysia, which potentially can influence the magnitude of monetary policies and eventually have an impact on inflation. Thirdly, knowledge on the future trends would be helpful in the planning and decision making procedures and will generate precise fiscal and monetary policy. Daily data on palm oil prices along with the ARIMA models, neural networks and fuzzy logic systems are employed in this paper. Empirical findings indicate that the dynamic neural network of NARX and the hybrid system of ANFIS provide higher accuracy than the ARIMA and static neural network for forecasting the palm oil price in Malaysia.
Jiang, George J.; Sluis, Pieter J. van der
1999-01-01
While the stochastic volatility (SV) generalization has been shown to improve the explanatory power over the Black-Scholes model, empirical implications of SV models on option pricing have not yet been adequately tested. The purpose of this paper is to first estimate a multivariate SV model using th
Colorize magnetic nanoparticles using a search coil based testing method
Wu, Kai; Wang, Yi; Feng, Yinglong; Yu, Lina; Wang, Jian-Ping, E-mail: jpwang@umn.edu
2015-04-15
Different magnetic nanoparticles (MNPs) possess unique spectral responses to AC magnetic field and we can use this specific magnetic property of MNPs as “colors” in the detection. In this paper, a detection scheme for magnetic nanoparticle size distribution is demonstrated by using an MNPs and search-coils integrated detection system. A low frequency (50 Hz) sinusoidal magnetic field is applied to drive MNPs into saturated region. Then a high frequency sinusoidal field sweeping from 5 kHz to 35 kHz is applied in order to generate mixing frequency signals, which are collected by a pair of balanced search coils. These harmonics are highly specific to the nonlinearity of magnetization curve of the MNPs. Previous work focused on using the amplitude and phase of the 3rd harmonic or the amplitude ratio of the 5th harmonic over 3rd harmonic. Here we demonstrate to use the amplitude and phase information of both 3rd and 5th harmonics as magnetic “colors” of MNPs. It is found that this method effectively reduces the magnetic colorization error. - Highlights: • We demonstrated to use the amplitude and phase information of both 3rd and 5th harmonics as magnetic “colors” of magnetic nanoparticles (MNPs). • An easier and simpler way to calibrate amounts of MNPs was developed. • With the same concentration, MNP solution with a larger average particle size could induce higher amplitude, and its amplitude changes greatly with sweeping high frequency. • At lower sweeping frequency, the 5 samples have almost the same phase lag. As the sweeping frequency goes higher, phase lag of large particles drop faster.
Calculating proper transfer prices
Dorkey, F.C. (Meliora Research Associates, Rochester, NY (United States)); Jarrell, G.A. (Univ. of Rochester, NY (United States))
1991-01-01
This article deals with developing a proper transfer pricing method. Decentralization is as American as baseball. While managers laud the widespread benefits of both decentralization and baseball, they often greet the term transfer price policy with a yawn. Since transfer prices are as critical to the success of decentralized firms as good pitchers are to baseball teams, this is quite a mistake on the part of our managers. A transfer price is the price charged to one division for a product or service that another division produced or provided. In many, perhaps most, decentralized organizations, the transfer pricing policies actually used are grossly inefficient and sacrifice the potential advantages of decentralization. Experience shows that far too many companies have transfer pricing policies that cost them significantly in foregone growth and profits.
NewsMarket 2.0: Analysis of News for Stock Price Forecasting
Barazzetti, Alessandro; Mastronardi, Rosangela
Most of the existing financial research tools use a stock's historical price and technical indicators to predict future price trends without taking into account the impact of web news. The recent explosion of demand for information on financial investment management is driving the search for alternative methods of quantitative data analysis.
Lin, Chia-Ching; Tsai, Chin-Chung
2007-10-01
To acquire a better understanding of the online search strategies that students employ to use the Internet, this study investigated six university students' approaches to Web-based information searches. A new method, called navigation flow map (NFM), is presented that graphically displays the fluid and multilayered relationships between Web navigation and information retrieval that students use while navigating the Web. To document the application of NFM, the Web search strategies of six university students were analyzed as they used the Internet to perform two different tasks: scientific-based and social studies-based information searches. Through protocol analyses using the NFM method, the students' searching strategies were categorized into two types: Match or Exploration. The findings revealed that participants with an Exploration approach had more complicated and richer task-specific ways of searching information than those with a Match approach; and further, through between-task comparisons, we found that participants appeared to use different searching strategies to process natural science information compared to social studies information. Finally, the participants in the Exploration group also exhibited better task performance on the criterion measures than those in the Match group.
In search of new methods. Qigong in stuttering therapy
Paweł Półrola
2013-10-01
Full Text Available Introduction : Even though stuttering is probably as old a phenomenon as the human speech itself, the stuttering therapy is still a challenge for the therapist and requires constant searching for new methods. Qigong may prove to be one of them. Aim of the research: The research paper presents the results of an experimental investigation evaluating the usefulness of qigong practice in stuttering therapy. Material and methods: Two groups of stuttering adults underwent 6-month therapy. In group I – the experimental one (n = 11 – the therapy consisted of speech fluency training, psychotherapy and qigong practice. In group II – the control one (n = 12 – it included speech fluency training and psychotherapy. In both groups 2-hour sessions of speech fluency training and psychotherapy were conducted twice a week. Two-hour qigong sessions took place once a week. Results: After 6 months the therapy results were compared with regard to the basic stuttering parameters, such as the degree of speech disfluency, the level of logophobia and speech disfluency symptoms. Improvement was observed in both groups, the beneficial effects, however, being more prominent in the qigong-practising group. Conclusions : Qigong exercises used in the therapy of stuttering people along with speech fluency training and psychotherapy give beneficial effects.
Price knowledge during grocery shopping
Jensen, Birger Boutrup; Grunert, Klaus G
2014-01-01
Past research on consumer price knowledge has varied considerably partly due to differences in how and when price knowledge is measured.This paper applies a multi-point, multi-measure approach to reconcile differences in past price knowledge research by examining systematicrelationships between...... accessible at the store exit. These findings enable the authors to reconcile diverging results from past research,showing how consumer price knowledge evolves and suggesting that the vast majority of consumers learn about prices, whether consciously orunconsciously, during grocery shopping. Thus, when...... applying a multi-point, multi-measure approach, consumers appear to know more aboutprices than suggested by past research. Determinants of price knowledge are also examined and the results indicate that price knowledge buildsup not only because of active search but also due to accidental exposure to prices...
An analysis of increasing price of gricultural products
王豪; 周婷婷
2008-01-01
@@ This report consists of following sections:at first,this report will show the content and source of the cited article,the topic of which is that price hikes for meat,eggs to affect CPI in china;Second,this part mostly presents some theories of economics which are related to the price;Third,through economic analysis,this part search for the method that solve the problem;At last,we will get the conclusion.
Zheluk, Andrey; Gillespie, James A.; Quinn, Casey
2012-01-01
Background This is a methodological study investigating the online responses to a national debate over an important health and social problem in Russia. Russia is the largest Internet market in Europe, exceeding Germany in the absolute number of users. However, Russia is unusual in that the main search provider is not Google, but Yandex. Objective This study had two main objectives. First, to validate Yandex search patterns against those provided by Google, and second, to test this method's a...
Turek, Marian; Michalak, Aneta
2012-12-01
The authors of the paper present a problem of pricing assets lost in result of mining catastrophes. In the subsequent steps of a pricing procedure the Authors suggest a methodology of an asset identification in relation to its technical, functional and environmental wear and particular methods of calculating its value. In the paper there were market, property and income method included, it especially concerned the technique of pair comparison, average price correction and statistical market analysis as well as the technique of replacement cost, reconstruction cost and investment method.
Patients' views on price shopping and price transparency.
Semigran, Hannah L; Gourevitch, Rebecca; Sinaiko, Anna D; Cowling, David; Mehrotra, Ateev
2017-06-01
Driven by the growth of high deductibles and price transparency initiatives, patients are being encouraged to search for prices before seeking care, yet few do so. To understand why this is the case, we interviewed individuals who were offered access to a widely used price transparency website through their employer. Qualitative interviews. We interviewed individuals enrolled in a preferred provider organization product through their health plan about their experience using the price transparency tool (if they had done so), their past medical experiences, and their opinions on shopping for care. All interviews were transcribed and manually coded using a thematic coding guide. In general, respondents expressed frustration with healthcare costs and had a positive opinion of the idea of price shopping in theory, but 2 sets of barriers limited their ability to do so in reality. The first was the salience of searching for price information. For example, respondents recognized that due to their health plan benefits design, they would not save money by switching to a lower-cost provider. Second, other factors were more important than price for respondents when choosing a provider, including quality and loyalty to current providers. We found a disconnect between respondents' enthusiasm for price shopping and their reported use of a price transparency tool to shop for care. However, many did find the tool useful for other purposes, including checking their claims history. Addressing the barriers to price shopping identified by respondents can help inform ongoing and future price transparency initiatives.
Determinants and Sustainability of House Prices: The Case of Shanghai, China
Gao Lu Zou
2015-04-01
Full Text Available Recent housing policies include measures for home purchase control and shanty town redevelopment. This study proposes sustainable pricing, in that the long-run equilibrium price is determined by the fundamentals of house prices. We argue that changes in CPI might have led to rapidly growing house prices and rather high price levels. We investigate the long-run or short-run impacts of new commodity housing completions, transacted square meters of commodity housing, and CPI for house prices in Shanghai. We adopt monthly data for the period of 2005–2010. We test for unit roots using both the ADF and PP techniques and structural breaks using both the Zivot-Andrews (Model B and Perron (Model C methods. Considering Cheung-Lai and Reinsel–Ahn finite-sample corrections, the results suggest a long-run equilibrium. Housing completions negatively impact house prices in the short run. A positive volume-price relationship is suggested. Housing sales affect house prices in the short run but not vice versa. Hence, the empirical evidence supports the search model. In addition, CPI is strongly exogenous with respect to the long-run relationship and thus is a long-term determinant of house prices. CPI also positively and drastically influences house prices in the short run. Therefore, a reduction in inflation rate could stabilize house prices, increasing the chances of sustainable prices in the future.
Ferguson, Megan; O'Dea, Kerin; Holden, Stacey; Miles, Eddie; Brimblecombe, Julie
2017-02-01
Retrospectively evaluate food price discounts in remote Aboriginal community stores. Four price discount strategies of 10% were designed in 2010, aiming to influence grocery, fruit, vegetables and diet soft-drink sales. This natural experiment across a group of stores was evaluated using an explanatory, sequential mixed method design through analysis of store point-of-sale, document, observation and interview data. The outcome was measured by change in: 1) percentage of grocery sales to total food and beverage; 2) fruit and vegetable sales; and 3) diet soft-drink sales. Qualitative data enabled the interpretation of outcomes through understanding perceived success and benefits, and enablers and barriers to implementation. Eighteen community stores and 54 informants participated. While targeted price discounts were considered important to improving health, no discernible effect was evident, due to inadequate design and communication of discount promotion, and probably inadequate magnitude of discount. Strategy impact on food and beverage sales was limited by promotion and magnitude of discount. Implication for Public Health: This study demonstrates key factors and commitment required to design, communicate, implement and monitor strategies to improve health in this challenging remote retail context. Evaluation of natural experiments can contribute evidence to policy-making. © 2016 The Authors.
Ahmad Kamaruddin, Saadi Bin; Md Ghani, Nor Azura; Mohamed Ramli, Norazan
2013-04-01
The concept of Private Financial Initiative (PFI) has been implemented by many developed countries as an innovative way for the governments to improve future public service delivery and infrastructure procurement. However, the idea is just about to germinate in Malaysia and its success is still vague. The major phase that needs to be given main attention in this agenda is value for money whereby optimum efficiency and effectiveness of each expense is attained. Therefore, at the early stage of this study, estimating unitary charges or materials price indexes in each region in Malaysia was the key objective. This particular study aims to discover the best forecasting method to estimate unitary charges price indexes in construction industry by different regions in the central region of Peninsular Malaysia (Selangor, Federal Territory of Kuala Lumpur, Negeri Sembilan, and Melaka). The unitary charges indexes data used were from year 2002 to 2011 monthly data of different states in the central region Peninsular Malaysia, comprising price indexes of aggregate, sand, steel reinforcement, ready mix concrete, bricks and partition, roof material, floor and wall finishes, ceiling, plumbing materials, sanitary fittings, paint, glass, steel and metal sections, timber and plywood. At the end of the study, it was found that Backpropagation Neural Network with linear transfer function produced the most accurate and reliable results for estimating unitary charges price indexes in every states in central region Peninsular Malaysia based on the Root Mean Squared Errors, where the values for both estimation and evaluation sets were approximately zero and highly significant at p value for money of PFI as well as towards Malaysian economical growth.
AN ADAPTIVE NONMONOTONIC TRUST REGION METHOD WITH CURVILINEAR SEARCHES
Qun-yan Zhou; Wen-yu Sun
2006-01-01
In this paper, an algorithm for unconstrained optimization that employs both trust region techniques and curvilinear searches is proposed. At every iteration, we solve the trust region subproblem whose radius is generated adaptively only once. Nonmonotonic backtracking curvilinear searches are performed when the solution of the subproblem is unacceptable. The global convergence and fast local convergence rate of the proposed algorithms are established under some reasonable conditions. The results of numerical experiments are reported to show the effectiveness of the proposed algorithms.
宋振; 刘小浪; 何丽珠; 夏志国; 刘泉林
2015-01-01
Bond valence method illustrates the relation between valence and length of a particular bond type. This theory has been used to predict structure information, but the effect is very limited. In this paper, two indexes, i.e., global instability index (GII) and bond strain index (BSI), are adopted as a judgment of a search-match program for prediction. The results show that with GII and BSI combined as judgment, the predicted atom positions are very close to real ones. The mechanism and validity of this searching program are also discussed. The GII&BSI distribution contour map reveals that the predicted function is a reflection of exponential feature of bond valence formula. This combined searching method may be integrated with other structure-determination method, and may be helpful in refining and testifying light atom positions.
Armstrong, Mark
2008-01-01
This paper surveys recent economic research on price discrimination, both in monopoly and oligopoly markets. Topics include static and dynamic forms of price discrimination, and both final and input markets are considered. Potential antitrust aspects of price discrimination are highlighted throughout the paper. The paper argues that the informational requirements to make accurate policy are very great, and with most forms of price discrimination a laissez-faire policy may be the best availabl...
A Strategy Tackling Local Minimum of Direct Search Method in Modeling a Hydraulic Actuator
刘云山; 陈晓辉
2013-01-01
A strategy for attacking the local minimum problem of direct search method is developed for modeling a hydraulic actuator. The Nelder-Mead direct search method is combined with Ordinary Least Squares which can used to optimize the parameters which the model function is in linear with. The model fitting results show that this strategy can reach a solution more close to the global minimum than the Nelder-Mead direct search method used alone.
Phylogenomic Methods to Guide Paleontological Searches for the Early Cyanobacteria
Blank, C. E.
2004-12-01
Phylogenomic methods can help paleontologists target their searches for early microbial microfossils and potentially help them better interpret the early fossil record. In this study, the deep-branching relationships in the cyanobacteria were resolved using whole genome sequences, multiple genes for taxa lacking genomes, and intein presence/absence in the DnaE protein. Once a framework tree was produced, characters were mapped onto the tree. Characters included morphology (unicellular vs. filamentous), habitat (marine vs. freshwater), metabolism (use of sulfide as electron donor, nitrogen fixation), presence/absence of complex morphological traits (akinetes, heterocysts, hormogonia), salt tolerance, and thermal tolerance. It was found that the earliest cyanobacteria were unicellular coccoids, with cell diameters cyanobacteria to freshwater deposits (lakes, streams) and to small diameter coccoids (not mats, not filaments). The earliest "cyanobacterial" microfossils (Eosynechococcus and Eoentophysalis) are large-diameter coccoids found in shallow marine platform carbonates. Because these cells have large diameters, if they were cyanobacteria one would also expect to see their sister taxa in the fossil record (i.e., large-diameter filamentous forms with sheaths, also akinetes). Because these are not found until 2.0 Ga (and akinetes until 1.5 Ga), this suggests that these earliest microfossils are not cyanobacteria. There are several instances in the cyanobacterial tree where ancestors with low salt tolerance gave rise to lineages that grow in brackish, marine, and/or hypersaline environments. This suggests that either the cyanobacteria first originated on continents and later colonized more saline environments, or that the cyanobacteria first originated in shallow "seas" that were not very saline but gradually became more saline by about 2.0 Ga. Because the continents were likely harsh environments (due to lack of an ozone layer and increased chemical and physical
Dynamic Price Dispersion of Storable Goods
Gao, Cixiu
2014-01-01
In this paper I provide an analytical model for the rationale behind supermarket pricing patterns characterized by long-term high prices and temporary price reductions. The model is based on the understanding that temporary price reductions serve the role of price discrimination between consumers...... with different search costs and willingness to wait. I demonstrate that the high-price-low-price pattern is rational for storable goods. In a Markov-perfect equilibrium, agents’ actions depend on consumer inventory, and purchase decisions are characterized by a critical price. The equilibrium price series...... consists of one-time price reductions and several consecutive periods in which all retailers offer the regular price. The model predicts that competition is the hardest when consumer inventories are zero, and that at high inventory levels the probability of holding a sale is low....
Nielsen, Søren Bo
2014-01-01
Against a background of rather mixed evidence about transfer pricing practices in multinational enterprises (MNEs) and varying attitudes on the part of tax authorities, this paper explores how multiple aims in transfer pricing can be pursued across four different transfer pricing regimes. A MNE h...
许佳亮
2014-01-01
随着我国经济的发展，工程量清单计价方式已在我国建筑市场中得到了一定程度上普及。然而在签订工程固定总价合同时又出现了很多问题，扰乱了建筑市场的正常经营秩序。因此，对清单计价下的固定总价合同结算办法进行规范就显得尤为重要。%As Chinese economic development, the bil of qu-antity pricing mode has obtained a certain degree of popularity in Chinese construction market. In engineering fixed price contracts, however, many problems came into being, which disturbed the normal management order of construction market. Therefore, the list of specifications on the fixed price contract set lement way is particularly important. Thus, standardizing the set lement method of fixed-price contract under the bil of quantity pricing is particularly important.
Search Method Based on Figurative Indexation of Folksonomic Features of Graphic Files
Oleg V. Bisikalo
2013-11-01
Full Text Available In this paper the search method based on usage of figurative indexation of folksonomic characteristics of graphical files is described. The method takes into account extralinguistic information, is based on using a model of figurative thinking of humans. The paper displays the creation of a method of searching image files based on their formal, including folksonomical clues.
Yatracos, Yannis G.
2013-01-01
A new method is proposed to obtain the risk neutral probability of share prices without stochastic calculus and price modeling, via an embedding of the price return modeling problem in Le Cam's statistical experiments framework. Strategies-probabilities $P_{t_0,n}$ and $P_{T,n}$ are thus determined and used, respectively,for the trader selling the share's European call option at time $t_0$ and for the buyer who may exercise it in the future, at $T; \\ n$ increases with the number of share's tr...
VARIED STEPLENGTH NONMONOTONE PATTERN SEARCH METHOD%变步长非单调模式搜索法
杨春; 倪勤
2005-01-01
A varied steplength nonmonotone pattern search method is proposed in this paper. The varied steplength search strategy is designed in this method such that the pattern direction is more approximated to efficient descent direction. The interpolation and nonmonotone technique are used for improving local search and global convergence. The theoretical and numerical results show that this method is an efficient direct search method.
Studying the Effects of Negative and Positive Perceptions of Price on Price Mavenism
Hossein Vazifedoost
2013-04-01
Full Text Available Despite the importance of price mavens, little empirical research exists on understanding its theoretical and marketing drivers; especially in different cultural contexts Buyers in Iran often communicate positive and negative purchasing experiences through Word-of-Mouth (WOM, which creates special problems and opportunities for marketers. Price mavenism, which is associated with price-information searching and price-sharing behavior, is often considered as negative dimension of price. The purpose of this study, however, is to propose price mavenism as an outcome variable arising from both positive perceptions of price (prestige sensitivity and negative perceptions (price and value consciousness. For this purpose structured questionnaire was developed to collect data and totaling 206 questionnaires of Iranian consumers were analyzed. The conceptual model was tested using structural equation modeling. This study found that prestige sensitivity, price consciousness and value consciousness shaped price mavenism among the Iranians, supporting the idea that price mavenism arises from both positive and negative perceptions of price.
Impact of European pharmaceutical price regulation on generic price competition: a review.
Puig-Junoy, Jaume
2010-01-01
Although economic theory indicates that it should not be necessary to intervene in the generic drug market through price regulation, most EU countries intervene in this market, both by regulating the maximum sale price of generics (price cap) and by setting the maximum reimbursement rate, especially by means of reference pricing systems. We analyse current knowledge of the impact of direct price-cap regulation of generic drugs and the implementation of systems regulating the reimbursement rate, particularly through reference pricing and similar tools, on dynamic price competition between generic competitors in Europe. A literature search was carried out in the EconLit and PubMed databases, and on Google Scholar. The search included papers published in English or Spanish between January 2000 and July 2009. Inclusion criteria included that studies had to present empirical results of a quantitative nature for EU countries of the impact of price capping and/or regulation of the reimbursement rate (reference pricing or similar systems) on price dynamics, corresponding to pharmacy sales, in the generic drug market. The available evidence indicates that price-cap regulation leads to a levelling off of generic prices at a higher level than would occur in the absence of this regulation. Reference pricing systems cause an obvious and almost compulsory reduction in the consumer price of all pharmaceuticals subject to this system, to a varying degree in different countries and periods, the reduction being greater for originator-branded drugs than for generics. In several countries with a reference pricing system, it was observed that generics with a consumer price lower than the reference price do not undergo price reductions until the reference price is reduced, even when there are other lower-priced generics on the market (absence of price competition below the reference price). Beyond the price reduction forced by the price-cap and/or reference pricing regulation itself
Wang, Jiabo; Xiao, Xiaohe; Huang, Luqi; Chen, Shilin; Wang, Wenquan; Zhao, Runhuai; Long, Xingchao; Zhang, Xueru; Xiao, Peigen
2011-02-01
To probe into the new idea along with establishment of a novel method for dynamic monitoring and early-warning on the wild resources of traditional Chinese medicines (TCMs). The alterations of wild traditional Chinese medicinal resources were assessed through the price ratio between drug and foodstuff (PRDF) indicating the balance between supply and demand of the specific TCMs, referred to the price ration between pork to foodstuff which is used in national monitoring to the balance between pork supply and demand. Since the price of rice was tightly controlled by government, it was selected as a relatively stable reference to build the PRDF in order to take away the non-marketing influence to TCMs price such as CPI and inflation rate. The modified relative alteration trend of TCMs price had been researched through comparing different formulae to build PRDF, including absolute average month price of TCMs, month average price ratio of TCMs to foodstuff (rice) , month-on-month change of TCMs to rice, year-on-year change of TCMs to rice, and difference in value of period-on-period change (DVPPC). In the research, Cordyceps, Glycyrrhiza and totally five herbs were selected as model drugs and the price data were collected from 2002 to 2008. The results showed that DVPPC calculated of relative long time window was more sensitive and stable to reflect the relative alteration trend of TCMs price. For instance, the DVPPC of Ligustici showed continuously increase trend in recent years. This suggested appearance of unbalance between supply and demand of Ligustici, and forced policy intervention to maintain reasonable and continuable utilization of Ligustici resource. The proposed method and the formula of DVPPC revealed some useful guidance for dynamic monitoring the wild resources of TCMs.
Ahangar, Reza Gharoie; Pournaghshband, Hassan
2010-01-01
In this paper, researchers estimated the stock price of activated companies in Tehran (Iran) stock exchange. It is used Linear Regression and Artificial Neural Network methods and compared these two methods. In Artificial Neural Network, of General Regression Neural Network method (GRNN) for architecture is used. In this paper, first, researchers considered 10 macro economic variables and 30 financial variables and then they obtained seven final variables including 3 macro economic variables and 4 financial variables to estimate the stock price using Independent components Analysis (ICA). So, we presented an equation for two methods and compared their results which shown that artificial neural network method is more efficient than linear regression method.
A method of searching for peaks and multiplets in {gamma}-ray spectra
Loska, L.; Janczyszyn, J. [Akademia Gorniczo-Hutnicza, Cracow (Poland). Inst. Wiertniczo-Naftowy
1997-01-01
A new method of searching peaks in gamma spectra is proposed. The method makes use of the well known Sterlinski`s algorithm. The number proportional to peak area and the variance of this number (from the Sterlinski`s method) are used in the criterion selecting ``true`` peaks. A comparison of performance in searching single and multiple peaks of the proposed method and others frequently used in practice shows a better quality of our method. (Author).
Fišer-Šobot Sandra
2014-01-01
Full Text Available If the contract is avoided and there is a current price for the goods, the party claiming damages may recover the difference between the price fixed by the contract and the current price at specific time and at specific place. Abstract calculation of loss is possible only when the contract goods have current price. Current price is the price generally charged for such goods sold under comparable circumstances in the trade concerned. According to the CISG and Serbian Law of Obligations, for the determination of the current price is relevant time of avoidance. This general rule is not applicable in international sales law when the party claiming damages has avoided the contract after taking over the goods. In that case, the current price at the time of taking over shall be applicable instead of the current price at the time of avoidance. Current price rule contained in the Art. 76(2 of the CISG presupposes that the current price is the price prevailing at the place where the delivery of the goods should have been made, or if there is no current price at the place, the price at such other place as serves as a reasonable substitute, making due allowance for differences in the cost of transporting the goods. Pursuant to Art. 524(2 Of Serbian Law of Obligations, however, relevant is the price in the market of the place of effecting the transaction. Formulation place of effecting the transaction is unclear and vague and can create different problems. Therefore, this rule should be amended and the relevant place should be the place of delivery.
Web of science: a unique method of cited reference searching.
Sevinc, Alper
2004-07-01
The number of times an article is acknowledged as a reference in another article reflects its scientific impact. Citation analysis is one of the parameters for assessing the quality of research published in scientific, technology and social science journals. Web of Science enables users to search current and retrospective multidisciplinary information. Parameters and practical applications evaluating journal and article citation characteristics available through the Science Citation Index are summarized.
De-Xin Yu
2013-01-01
Full Text Available Combined with improved Pallottino parallel algorithm, this paper proposes a large-scale route search method, which considers travelers’ route choice preferences. And urban road network is decomposed into multilayers effectively. Utilizing generalized travel time as road impedance function, the method builds a new multilayer and multitasking road network data storage structure with object-oriented class definition. Then, the proposed path search algorithm is verified by using the real road network of Guangzhou city as an example. By the sensitive experiments, we make a comparative analysis of the proposed path search method with the current advanced optimal path algorithms. The results demonstrate that the proposed method can increase the road network search efficiency by more than 16% under different search proportion requests, node numbers, and computing process numbers, respectively. Therefore, this method is a great breakthrough in the guidance field of urban road network.
A hybrid cuckoo search algorithm with Nelder Mead method for solving global optimization problems.
Ali, Ahmed F; Tawhid, Mohamed A
2016-01-01
Cuckoo search algorithm is a promising metaheuristic population based method. It has been applied to solve many real life problems. In this paper, we propose a new cuckoo search algorithm by combining the cuckoo search algorithm with the Nelder-Mead method in order to solve the integer and minimax optimization problems. We call the proposed algorithm by hybrid cuckoo search and Nelder-Mead method (HCSNM). HCSNM starts the search by applying the standard cuckoo search for number of iterations then the best obtained solution is passing to the Nelder-Mead algorithm as an intensification process in order to accelerate the search and overcome the slow convergence of the standard cuckoo search algorithm. The proposed algorithm is balancing between the global exploration of the Cuckoo search algorithm and the deep exploitation of the Nelder-Mead method. We test HCSNM algorithm on seven integer programming problems and ten minimax problems and compare against eight algorithms for solving integer programming problems and seven algorithms for solving minimax problems. The experiments results show the efficiency of the proposed algorithm and its ability to solve integer and minimax optimization problems in reasonable time.
Parlesak, Alexandr; Robertson, Aileen
2015-01-01
Purpose: The purpose of this study was to generate a framework for the development of health-promoting, fully nutritious, socially acceptable, and affordable national food baskets to be used as an advocacy tool by governments. In addition to containing all (micro-)nutrient requirements, food bask....... Fully nutritious and health-promoting food baskets can be achieved at a relatively low price. However if these are not socially acceptable to the target population, the use of a framework using linear programming based solely on nutritional values seems limited.......Purpose: The purpose of this study was to generate a framework for the development of health-promoting, fully nutritious, socially acceptable, and affordable national food baskets to be used as an advocacy tool by governments. In addition to containing all (micro-)nutrient requirements, food...... baskets should also reflect dietary guidelines to prevent non-communicable diseases and be optimized to achieve the highest possible social acceptance. So far, integrative approaches that include all these aspects are lacking. Methods: Food composition, local availability, food prices, national...
Chaotic Charged System Search with a Feasible-Based Method for Constraint Optimization Problems
B. Nouhi
2013-01-01
Full Text Available Recently developed chaotic charged system search was combined to feasible-based method to solve constraint engineering optimization problems. Using chaotic maps into the CSS increases the global search mobility for a better global optimization. In the present method, an improved feasible-based method is utilized to handle the constraints. Some constraint design examples are tested using the new chaotic-based methods, and the results are compared to recognize the most efficient and powerful algorithm.
Shibata, Kazuaki; Horio, Yoshihiko; Aihara, Kazuyuki
The quadratic assignment problem (QAP) is one of the NP-hard combinatorial optimization problems. An exponential chaotic tabu search using a 2-opt algorithm driven by chaotic neuro-dynamics has been proposed as one heuristic method for solving QAPs. In this paper we first propose a new local search, the double-assignment method, suitable for the exponential chaotic tabu search, which adopts features of the Lin-Kernighan algorithm. We then introduce chaotic neuro-dynamics into the double-assignment method to propose a novel exponential chaotic tabu search. We further improve the proposed exponential chaotic tabu search with the double-assignment method by enhancing the effect of chaotic neuro-dynamics.
PREDICTING MOVIE SUCCESS FROM SEARCH QUERY USING SUPPORT VECTOR REGRESSION METHOD
Chanseung Lee
2016-01-01
Full Text Available Query data from search engines can provide many insights about the human behavior. Therefore, massive data resulting from human interactions may offer a new perspective on the behavior of the market. By analyzing Google query database for search terms, we present a method of analyzing large numbers of search queries to predict outcomes such as movie incomes. Our results illustrate the potential of combining extensive behavioral data sets that offer a better understanding of collective human behavior.
An electricity price model with consideration to load and gas price effects
黄民翔; 陶小虎; 韩祯祥
2003-01-01
Some characteristics of the electricity load and prices are studied, and the relationship between electricity prices and gas (fuel) prices is analyzed in this paper. Because electricity prices are strongly dependent on load and gas prices, the authors constructed a model for electricity prices based on the effects of these two factors; and used the Geometric Mean Reversion Brownian Motion (GMRBM) model to describe the electricity load process, and a Geometric Brownian Motion(GBM) model to describe the gas prices; deduced the price stochastic process model based on the above load model and gas price model. This paper also presents methods for parameters estimation, and proposes some methods to solve the model.
Stansfield, Claire; O'Mara-Eves, Alison; Thomas, James
2017-09-01
Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term development for systematic reviewing. We found that the tools can be used in 5 overarching ways: improving the precision of searches; identifying search terms to improve search sensitivity; aiding the translation of search strategies across databases; searching and screening within an integrated system; and developing objectively derived search strategies. Using a case study and selected examples, we then reflect on the utility of certain technologies (term frequency-inverse document frequency and Termine, term frequency, and clustering) in improving the precision and sensitivity of searches. Challenges in using these tools are discussed. The utility of these tools is influenced by the different capabilities of the tools, the way the tools are used, and the text that is analysed. Increased awareness of how the tools perform facilitates the further development of methods for their use in systematic reviews. Copyright © 2017 John Wiley & Sons, Ltd.
Pricing General Insurance in a Competitive Market
Burcã Ana-Maria; Bãtrînca Ghiorghe
2012-01-01
In insurance industry, the lack of a proper pricing policy will generate suboptimal results. The price has to be competitive and actuarially adequate in order to reflect the dimension of risk. In a competitive market, the pricing policy of insurance companies acquires the capacities of a dynamic process. In this pricing war, the insurance company must analyze each component of pricing. Insurance companies use various statistical methods to set prices, taking in consideration the interaction b...
Transition from monopoly pricing to competitive pricing
Perera, L. [Eastern Energy Ltd., Melbourne, VIC (Australia)
1995-12-31
The Victorian Government has embarked on a program to restructure the State electricity supply industry, that will be the precursor to reform throughout the whole of Australia. The Government is depending on competition to drive efficiency improvements to both generation and distribution businesses. Retail pricing will be the key determinant to a future assessment of the success or failure of these reforms. The paper examines electricity pricing before and after the restructuring from the viewpoint of a practitioner at the cutting edge of the reform process. Economic rationale is put forward why the Value Proposition will replace the Cost Recovery basis previously used in electricity pricing. It is concluded that limitations of interstate links will temper intestate competition unless innovative solution can be found. The current method of setting market prices based on a `Pool System` is only efficient if the generators bid their marginal price on a regular basis. In essence the pool replaces the `merit order` previously used to load generators and is basically a scheduling mechanism. Serious consideration needs to be given to the question whether this mechanism should be also setting the price of electricity. (author). 5 tabs.
Rohde, Carsten; Rossing, Christian Plesner
trade internally as the units have to decide what prices should be paid for such inter-unit transfers. One important challenge is to uncover the consequences that different transfer prices have on the willingness in the organizational units to coordinate activities and trade internally. At the same time...
Tenopir, Carol
1998-01-01
Presents results of a recent survey of over 100 public and academic libraries about pricing options from online companies. Most options fall into three categories: pay-as-you-go, fixed-rate, and user-based. Results are discussed separately for public and academic libraries and for consortial discounts. Trends in pricing options preferred by…
Prof. Nar Singh
2016-05-01
Full Text Available In area of video compression, Motion Estimation is one of the most important modules and play an important role to design and implementation of any the video encoder. It consumes more than 85% of video encoding time due to searching of a candidate block in the search window of the reference frame. Various block matching methods have been developed to minimize the search time. In this context, Adaptive Rood Pattern Search is one of the less expensive block matching methods, which is widely acceptable for better Motion Estimation in video data processing. In this paper we have proposed to optimize the macro block size used in adaptive rood pattern search method for improvement in motion estimation.
Visual tracking method based on cuckoo search algorithm
Gao, Ming-Liang; Yin, Li-Ju; Zou, Guo-Feng; Li, Hai-Tao; Liu, Wei
2015-07-01
Cuckoo search (CS) is a new meta-heuristic optimization algorithm that is based on the obligate brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior of some birds and fruit flies. It has been found to be efficient in solving global optimization problems. An application of CS is presented to solve the visual tracking problem. The relationship between optimization and visual tracking is comparatively studied and the parameters' sensitivity and adjustment of CS in the tracking system are experimentally studied. To demonstrate the tracking ability of a CS-based tracker, a comparative study of tracking accuracy and speed of the CS-based tracker with six "state-of-art" trackers, namely, particle filter, meanshift, PSO, ensemble tracker, fragments tracker, and compressive tracker are presented. Comparative results show that the CS-based tracker outperforms the other trackers.
The global convergence of the non-quasi-Newton methods with non-monotone line search
无
2006-01-01
The non-quasi-Newton methods for unconstrained optimization was investigated. Non-monotone line search procedure is introduced, which is combined with the non-quasi-Newton family. Under the uniform convexity assumption on objective function, the global convergence of the non-quasi-Newton family was proved.Numerical experiments showed that the non-monotone line search was more effective.
Tang, Chun-Ming; Jian, Jin-Bao
2008-10-01
Based on an augmented Lagrangian line search function, a sequential quadratically constrained quadratic programming method is proposed for solving nonlinearly constrained optimization problems. Compared to quadratic programming solved in the traditional SQP methods, a convex quadratically constrained quadratic programming is solved here to obtain a search direction, and the Maratos effect does not occur without any other corrections. The "active set" strategy used in this subproblem can avoid recalculating the unnecessary gradients and (approximate) Hessian matrices of the constraints. Under certain assumptions, the proposed method is proved to be globally, superlinearly, and quadratically convergent. As an extension, general problems with inequality and equality constraints as well as nonmonotone line search are also considered.
Liu Yang
2014-01-01
Full Text Available Locational marginal prices (LMPs are influenced by various factors in the electricity market; knowing the sensitivity information of LMPs is very important for both the purchase and the consumer. This paper presents a united method to compute the sensitivities of LMPs based on the optimal power flow (OPF. The Karush-Kuhn-Tucher (KKT system to solve LMPs can be transferred into an equation system by using an NCP function, and then by using the properties of the derivative of the semismooth NCP function, this paper provides a simultaneous obtention of the sensitivities of LMPs with respect to power demands, the cost of production, voltage boundary, and so forth. Numerical examples illustrate the concepts presented and the proposed methodology by a 6-bus electric energy system. Some relevant conclusions are drawn in the end.
Solving American Option Pricing Models by the Front Fixing Method: Numerical Analysis and Computing
R. Company
2014-01-01
analysis of the method is provided. The method preserves positivity and monotonicity of the numerical solution. Consistency and stability properties of the scheme are studied. Explicit calculations avoid iterative algorithms for solving nonlinear systems. Theoretical results are confirmed by numerical experiments. Comparison with other approaches shows that the proposed method is accurate and competitive.
Multiobjective Optimization Method Based on Adaptive Parameter Harmony Search Algorithm
P. Sabarinath
2015-01-01
Full Text Available The present trend in industries is to improve the techniques currently used in design and manufacture of products in order to meet the challenges of the competitive market. The crucial task nowadays is to find the optimal design and machining parameters so as to minimize the production costs. Design optimization involves more numbers of design variables with multiple and conflicting objectives, subjected to complex nonlinear constraints. The complexity of optimal design of machine elements creates the requirement for increasingly effective algorithms. Solving a nonlinear multiobjective optimization problem requires significant computing effort. From the literature it is evident that metaheuristic algorithms are performing better in dealing with multiobjective optimization. In this paper, we extend the recently developed parameter adaptive harmony search algorithm to solve multiobjective design optimization problems using the weighted sum approach. To determine the best weightage set for this analysis, a performance index based on least average error is used to determine the index of each weightage set. The proposed approach is applied to solve a biobjective design optimization of disc brake problem and a newly formulated biobjective design optimization of helical spring problem. The results reveal that the proposed approach is performing better than other algorithms.
2006-01-01
Please take note that after five years of stable prices at Restaurant No 1 a price increase will come into force on 1st January 2006. This increase has been agreed after discussions between the CSR (Comité de Surveillance des Restaurants) and the catering company Novae and will reflect the inflation rate of the last few years. In addition, a new children's menu will be introduced, as well as 'Max Havelaar' fair-trade coffee at a price of 1.70 CHF.
2005-01-01
Please take note that after five years of stable prices at Restaurant No 1 a price increase will come into force on 1st January 2006. This increase has been agreed after discussions between the CSR (Comité de Surveillance des Restaurants) and the catering company Novae and will reflect the inflation rate of the last few years. In addition, a new children's menu will be introduced as well as 'Max Havelaar' fair-trade coffee at a price of 1.70 CHF.
The Matrix Element Method and Vector-Like Quark Searches
Morrison, Benjamin
2016-01-01
In my time at the CERN summer student program, I worked on applying the matrix element method to vector-like quark identification. I worked in the ATLAS University of Geneva group under Dr. Olaf Nackenhorst. I developed automated plotting tools with ROOT, a script for implementing and optimizing generated matrix element calculation code, and kinematic transforms for the matrix element method.
基于JXTA的Super-peer搜索方法设计%Design JXTA Based Super-peer Search Method
李歆海; 李善平
2003-01-01
Efficient resource search method has significant impact on the scalability and availability of P2P network. Generally there are two search methods, pure Peer-to-Peer method and central index method. Recently, some search methods with super-peer concept are appearing, which are the compromise of those two methods and have favorable scalability and avafiability. In this paper, we compare the advantage and deficiency of these three kinds of search methods, and based on JXTA platform design the super-peer search method.
M. SUSITHRA
2017-01-01
Full Text Available Competitive trend towards restructuring and unbundling of transmission services has resulted in the need to discover the impact of a particular generator to load. This paper initially presents the analysis of three different reactive power valuation methods namely, Modified Ybus , Virtual flow approach and modified power flow tracing to compute the reactive power output from a particular generator to particular load. Among these methods, the modified power flow electricity tracing method is identified as the best method to trace the reactive power contribution from various reactive power sources to loads, transmission line, etc. Also this proposed method breakdown the total reactive power loss in a transmission line into components to be allocated to individual loads. Secondly, based on this Method a novel allocation method for reactive power service for practical system is proposed. Hence, this method can be useful in providing additional insight into power system operation and can be used to modify existing tariffs of charging for reactive power transmission loss and reactive power transmission services. Simulation and comparison results are shown by taking WSCC 9 and IEEE 30 bus system as test system.
Oleg Kudryavtsev
2013-01-01
factorization identity. Notice that our algorithm has the same complexity as the ones which use the explicit-implicit scheme, with a tridiagonal matrix. However, our method is more accurate. We support the advantage of the new method in terms of accuracy and convergence by using numerical experiments.
Chalasani, P.; Saias, I. [Los Alamos National Lab., NM (United States); Jha, S. [Carnegie Mellon Univ., Pittsburgh, PA (United States)
1996-04-08
As increasingly large volumes of sophisticated options (called derivative securities) are traded in world financial markets, determining a fair price for these options has become an important and difficult computational problem. Many valuation codes use the binomial pricing model, in which the stock price is driven by a random walk. In this model, the value of an n-period option on a stock is the expected time-discounted value of the future cash flow on an n-period stock price path. Path-dependent options are particularly difficult to value since the future cash flow depends on the entire stock price path rather than on just the final stock price. Currently such options are approximately priced by Monte carlo methods with error bounds that hold only with high probability and which are reduced by increasing the number of simulation runs. In this paper the authors show that pricing an arbitrary path-dependent option is {number_sign}-P hard. They show that certain types f path-dependent options can be valued exactly in polynomial time. Asian options are path-dependent options that are particularly hard to price, and for these they design deterministic polynomial-time approximate algorithms. They show that the value of a perpetual American put option (which can be computed in constant time) is in many cases a good approximation to the value of an otherwise identical n-period American put option. In contrast to Monte Carlo methods, the algorithms have guaranteed error bounds that are polynormally small (and in some cases exponentially small) in the maturity n. For the error analysis they derive large-deviation results for random walks that may be of independent interest.
Improving Nearest Neighbour Search in 3D Spatial Access Method
Suhaibah, A.; Rahman, A. A.; Uznir, U.
2016-01-01
Nearest Neighbour (NN) is one of the important queries and analyses for spatial application. In normal practice, spatial access method structure is used during the Nearest Neighbour query execution to retrieve information from the database. However, most of the spatial access method structures...... large due to its detail geometry and other attached information. In this research, a clustered 3D hierarchical structure is introduced as a 3D spatial access method structure. The structure is expected to improve the retrieval of Nearest Neighbour information for 3D objects. Several tests are performed...
A comparison of field-based similarity searching methods: CatShape, FBSS, and ROCS.
Moffat, Kirstin; Gillet, Valerie J; Whittle, Martin; Bravi, Gianpaolo; Leach, Andrew R
2008-04-01
Three field-based similarity methods are compared in retrospective virtual screening experiments. The methods are the CatShape module of CATALYST, ROCS, and an in-house program developed at the University of Sheffield called FBSS. The programs are used in both rigid and flexible searches carried out in the MDL Drug Data Report. UNITY 2D fingerprints are also used to provide a comparison with a more traditional approach to similarity searching, and similarity based on simple whole-molecule properties is used to provide a baseline for the more sophisticated searches. Overall, UNITY 2D fingerprints and ROCS with the chemical force field option gave comparable performance and were superior to the shape-only 3D methods. When the flexible methods were compared with the rigid methods, it was generally found that the flexible methods gave slightly better results than their respective rigid methods; however, the increased performance did not justify the additional computational cost required.
Forecast the Commercial Housing Price Index Based on Search Keywords Attention%基于搜索关键词关注度的商品房价格指数预测
白丽娟; 闫相斌; 金家华
2015-01-01
房地产作为国民经济的支柱产业，其价格预测受到学者的广泛关注。现有的预测研究，其数据存在严重的滞后性，影响预测的有效性。互联网搜索引擎关键词在表征用户信息需求、行为趋势等方面的能力日益显著，为分析用户消费信息需求、消费行为趋势等提供了较高质量的实时数据。本文在对搜索行为和商品房价格决定机制的理论分析基础上，论证了将关键词关注度指数加入回归预测模型的合理性，并使用Google Trend关键词数据进行了实证研究，结果显示这一改进可以提高对商品房价格指数的预测能力，降低预测误差。%Real estate is a pillar industry of the national economy, of which the price forecast is widely concerned by scholars. The previous studies of housing price prediction have serious lag in data sources, thus the validity of the fore-cast is restricted. The popularity of the Internet enables the increasingly significant capacity of search engine keywords in the characterization of users’ real information needs and behavior trends. This provides real-time data for scholars to analyze consumers’ information demand and behavior. In this paper we carry out a systematic theoretical analysis on search behavior and housing price determination mechanism. On this basis, we demonstrate the rationality of adding keywords attention index into the housing price prediction model and conduct an empirical research using Google Trend Keywords data. The results illustrate that the new model can improve the predictive power and accuracy of housing price prediction and reduce the prediction error.
(Re)searching Methods: Reading Fiction in Literary Response Groups
Janzen, Melanie D.
2015-01-01
The trouble with education research is that the research is burdened with trouble before it begins. Working as a poststructural education researcher and engaged in a recent research project that sought to engage with questions of teacher identity, I employed an alternative data elicitation method of literary response groups--similar to that of…
48 CFR 215.402 - Pricing policy.
2010-10-01
... 48 Federal Acquisition Regulations System 3 2010-10-01 2010-10-01 false Pricing policy. 215.402... OF DEFENSE CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 215.402 Pricing policy. Follow the procedures at PGI 215.402 when conducting cost or price analysis,...
General Search Market Equilibrium
Albrecht, James W.; Axell, Bo
1982-01-01
In this paper we extend models of “search market equilibrium” to incorporate general equilibrium considerations. The model we treat is one with a single product market and a single labor market. Imperfectly informed individuals follow optimal strategies in searching for a suitably low price and high wage. For any distribution of price and wage offers across firms these optimal strategies generate product demand and labor supply schedules. Firms then choose prices and wages to maximize expecte...
Jatzeck, Bernhard Michael
2000-10-01
The application of the Luus-Jaakola direct search method to the optimization of stand-alone hybrid energy systems consisting of wind turbine generators (WTG's), photovoltaic (PV) modules, batteries, and an auxiliary generator was examined. The loads for these systems were for agricultural applications, with the optimization conducted on the basis of minimum capital, operating, and maintenance costs. Five systems were considered: two near Edmonton, Alberta, and one each near Lethbridge, Alberta, Victoria, British Columbia, and Delta, British Columbia. The optimization algorithm used hourly data for the load demand, WTG output power/area, and PV module output power. These hourly data were in two sets: seasonal (summer and winter values separated) and total (summer and winter values combined). The costs for the WTG's, PV modules, batteries, and auxiliary generator fuel were full market values. To examine the effects of price discounts or tax incentives, these values were lowered to 25% of the full costs for the energy sources and two-thirds of the full cost for agricultural fuel. Annual costs for a renewable energy system depended upon the load, location, component costs, and which data set (seasonal or total) was used. For one Edmonton load, the cost for a renewable energy system consisting of 27.01 m2 of WTG area, 14 PV modules, and 18 batteries (full price, total data set) was 6873/year. For Lethbridge, a system with 22.85 m2 of WTG area, 47 PV modules, and 5 batteries (reduced prices, seasonal data set) cost 2913/year. The performance of renewable energy systems based on the obtained results was tested in a simulation using load and weather data for selected days. Test results for one Edmonton load showed that the simulations for most of the systems examined ran for at least 17 hours per day before failing due to either an excessive load on the auxiliary generator or a battery constraint being violated. Additional testing indicated that increasing the generator
基于二部制的价格歧视方法%Price Discrimination Method Based on Two-parts Tariff
彭云飞
2012-01-01
产品实施价格二部制的企业大量采用二级价格歧视、三级价格歧视方法外,还存在混合价格歧视.研究表明:企业收益最大化目标下实施这些价格歧视方法时,固定价格和从量价格的需求弹性、用户数、单位时间里的收益以及用户区间、资费区间分别需要满足不同的条件.这些结论为企业实施二部价格歧视提供了理论依据和决策参考.%Second-degree and third-degree price discriminaions are widely adopted in he product pricing. Research shows: under the constraints of income maximization, some con-ditions for the fixed fee of service packages and the demand elasticity of the quantity rate of bundled services, the number of users, the income per unit time, the users; and price's intervals should be meet in order to implement these price discrimination decision-making methods. These conclusions provide the theoretical and decision-making bases when the enterprises carry out two parts price discrimination
Nuraini Sari
2015-11-01
Full Text Available The purpose of this study is to evaluate about how Starbucks Corporation uses transfer pricing to minimize the tax bill. In addition, the study also will evaluate how Indonesias domestic rules can overcome the case if Starbucks UK case happens in Indonesia. There are three steps conducted in this study. First, using information provided by UK Her Majesty's Revenue and Customs (HMRC and other related articles, find methods used by Starbucks UK to minimize the tax bill. Second, find Organisation for Economic Co-Operation and Development (OECD viewpoint regarding Starbucks Corporation cases. Third, analyze how Indonesias transfer pricing rules will work if Starbucks UKs cases happened in Indonesia. The results showed that there were three inter-company transactions that helped Starbucks UK to minimize the tax bill, such as coffee costs, royalty on intangible property, and interest on inter-company loans. Through a study of OECDs BEPS action plans, it is recommended to improve the OECD Model Tax Convention including Indonesias domestic tax rules in order to produce a fair and transparent judgment on transfer pricing. This study concluded that by using current tax rules, although UK HMRC has been disadvantaged because transfer pricing practices done by most of multinational companies, UK HMRC still cannot prove the transfer pricing practices are not consistent with arms length principle. Therefore, current international tax rules need to be improved.
Baseem Khan
2013-01-01
Full Text Available Restructuring of electricity supply industry introduced the concept of deregulation. After deregulation transmission cost allocation is a vital issue. In the available literature, various authors have presented different methods for allocation of transmission cost. This paper presents the review of a variety of methods and algorithm based on the principle of power-flow tracing. For a fair and equitable transmission charge allocation it is necessary to know the quantum of power flowing by each generator and load in line flows. Power flow tracing techniques are mainly based on the concepts of proportional sharing principle, graph theory, circuit theory (Z-bus tracing, optimization approach, relative electrical distance concept, Equilateral bilateral exchange (EBE, and game theory. This paper presents a comprehensive review of all the available literature on the above.
A Sorting Method of Meta-search Based on User Web Page Interactive Model
Zongli Jiang; Tengyu Zhang
2012-01-01
Nowadays, there is a problem in most meta-search engines that many web pages searched have nothing to do with users＇ expectations. We introduce a new user web page interactive model under the framework ofmeta search, which analyzes users＇ action to get users＇ interests and storages them, and update these information with users＇ feedback. Meanwhile this model analyzes user records stored in web, attaches labels to the web page with statistics of user interest. We calculate the similarity about user and web page with the information from model and add similarity to scores of web pages. The experimental results reveal that this method can improve the relevance of the information retrieval.
An effective suggestion method for keyword search of databases
Huang, Hai
2016-09-09
This paper solves the problem of providing high-quality suggestions for user keyword queries over databases. With the assumption that the returned suggestions are independent, existing query suggestion methods over databases score candidate suggestions individually and return the top-k best of them. However, the top-k suggestions have high redundancy with respect to the topics. To provide informative suggestions, the returned k suggestions are expected to be diverse, i.e., maximizing the relevance to the user query and the diversity with respect to topics that the user might be interested in simultaneously. In this paper, an objective function considering both factors is defined for evaluating a suggestion set. We show that maximizing the objective function is a submodular function maximization problem subject to n matroid constraints, which is an NP-hard problem. An greedy approximate algorithm with an approximation ratio O((Formula presented.)) is also proposed. Experimental results show that our suggestion outperforms other methods on providing relevant and diverse suggestions. © 2016 Springer Science+Business Media New York
Fair pricing, and pricing paradoxes
Barbara Swart
2016-05-01
Full Text Available The St Petersburg Paradox revolves round the determination of a fair price for playing the St Petersburg Game. According to the original formulation, the price for the game is infinite, and, therefore, paradoxical. Although the St Petersburg Paradox can be seen as concerning merely a game, Paul Samuelson (1977 calls it a “fascinating chapter in the history of ideas”, a chapter that gave rise to a considerable number of papers over more than 200 years involving fields such as probability theory and economics. In a paper in this journal, Vivian (2013 undertook a numerical investigation of the St Petersburg Game. In this paper, the central issue of the paradox is identified as that of fair (risk-neutral pricing, which is fundamental in economics and finance and involves important concepts such as no arbitrage, discounting, and risk-neutral measures. The model for the St Petersburg Game as set out in this paper is new and analytical and resolves the so-called pricing paradox by applying a discounting procedure. In this framework, it is shown that there is in fact no infinite price paradox, and simple formulas for obtaining a finite price for the game are also provided.
Bo HUANG; Yamin SUN
2005-01-01
This paper proposes and evaluates two improved Petri net (PN)-based hybrid search strategies and their applications to flexible manufacturing system (FMS) scheduling.The algorithms proposed in some previous papers,which combine PN simulation capabilities with A* heuristic search within the PN reachability graph,may not find an optimum solution even with an admissible heuristic function.To remedy the defects an improved heuristic search strategy is proposed,which adopts a different method for selecting the promising markings and reserves the admissibility of the algorithm.To speed up the search process,another algorithm is also proposed which invokes faster termination conditions and still guarantees that the solution found is optimum.The scheduling results are compared through a simple FMS between our algorithms and the previous methods.They are also applied and evaluated in a set of randomly-generated FMSs with such characteristics as multiple resources and alternative routes.
Zhang, Chen; Ni, Zhiwei; Ni, Liping; Tang, Na
2016-10-01
Feature selection is an important method of data preprocessing in data mining. In this paper, a novel feature selection method based on multi-fractal dimension and harmony search algorithm is proposed. Multi-fractal dimension is adopted as the evaluation criterion of feature subset, which can determine the number of selected features. An improved harmony search algorithm is used as the search strategy to improve the efficiency of feature selection. The performance of the proposed method is compared with that of other feature selection algorithms on UCI data-sets. Besides, the proposed method is also used to predict the daily average concentration of PM2.5 in China. Experimental results show that the proposed method can obtain competitive results in terms of both prediction accuracy and the number of selected features.
A DIRECT SEARCH FRAME-BASED CONJUGATE GRADIENTS METHOD
I.D. Coope; C.J. Price
2004-01-01
A derivative-free frame-based conjugate gradients algorithm is presented. Convergence is shown for C1 functions, and this is verified in numerical trials. The algorithm is tested on a variety of low dimensional problems, some of which are ill-conditioned, and is also tested on problems of high dimension. Numerical results show that the algorithm is effective on both classes of problems. The results are compared with those from a discrete quasiNewton method, showing that the conjugate gradients algorithm is competitive. The algorithm exhibits the conjugate gradients speed-up on problems for which the Hessian at the solution has repeated or clustered eigenvalues. The algorithm is easily parallelizable.
On High Dimensional Searching Spaces and Learning Methods
Yazdani, Hossein; Ortiz-Arroyo, Daniel; Choros, Kazimierz
2017-01-01
In data science, there are important parameters that affect the accuracy of the algorithms used. Some of these parameters are: the type of data objects, the membership assignments, and distance or similarity functions. In this chapter we describe different data types , membership functions...... , and similarity functions and discuss the pros and cons of using each of them. Conventional similarity functions evaluate objects in the vector space. Contrarily, Weighted Feature Distance (WFD) functions compare data objects in both feature and vector spaces, preventing the system from being affected by some...... dominant features. Traditional membership functions assign membership values to data objects but impose some restrictions. Bounded Fuzzy Possibilistic Method (BFPM) makes possible for data objects to participate fully or partially in several clusters or even in all clusters. BFPM introduces intervals...
eTACTS: a method for dynamically filtering clinical trial search results.
Miotto, Riccardo; Jiang, Silis; Weng, Chunhua
2013-12-01
Information overload is a significant problem facing online clinical trial searchers. We present eTACTS, a novel interactive retrieval framework using common eligibility tags to dynamically filter clinical trial search results. eTACTS mines frequent eligibility tags from free-text clinical trial eligibility criteria and uses these tags for trial indexing. After an initial search, eTACTS presents to the user a tag cloud representing the current results. When the user selects a tag, eTACTS retains only those trials containing that tag in their eligibility criteria and generates a new cloud based on tag frequency and co-occurrences in the remaining trials. The user can then select a new tag or unselect a previous tag. The process iterates until a manageable number of trials is returned. We evaluated eTACTS in terms of filtering efficiency, diversity of the search results, and user eligibility to the filtered trials using both qualitative and quantitative methods. eTACTS (1) rapidly reduced search results from over a thousand trials to ten; (2) highlighted trials that are generally not top-ranked by conventional search engines; and (3) retrieved a greater number of suitable trials than existing search engines. eTACTS enables intuitive clinical trial searches by indexing eligibility criteria with effective tags. User evaluation was limited to one case study and a small group of evaluators due to the long duration of the experiment. Although a larger-scale evaluation could be conducted, this feasibility study demonstrated significant advantages of eTACTS over existing clinical trial search engines. A dynamic eligibility tag cloud can potentially enhance state-of-the-art clinical trial search engines by allowing intuitive and efficient filtering of the search result space. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.
Cooperative system and method using mobile robots for testing a cooperative search controller
Byrne, Raymond H. (Albuquerque, NM); Harrington, John J. (Albuquerque, NM); Eskridge, Steven E. (Albuquerque, NM); Hurtado, John E. (College Station, TX)
2002-01-01
A test system for testing a controller provides a way to use large numbers of miniature mobile robots to test a cooperative search controller in a test area, where each mobile robot has a sensor, a communication device, a processor, and a memory. A method of using a test system provides a way for testing a cooperative search controller using multiple robots sharing information and communicating over a communication network.
Exoplanets - search methods, discoveries, and prospects for astrobiology
Jones, Barrie W
2009-01-01
Whereas the Solar System has Mars and Europa as the best candidates for finding fossil/extant life as we know it - based on complex carbon compounds and liquid water - the 263 (non-pulsar) planetary systems around other stars as known at 15 September 2008 could between them possess many more planets where life might exist. Moreover, the number of these exoplanetary systems is growing steadily, and with this growth there is an increase in the number of planets that could bear carbon-liquid water life. In this brief review the main methods by which exoplanets are being discovered are outlined, and then the discoveries that have so far been made are presented. Habitability is then discussed, and an outline presented of how a planet could be studied from afar to determine whether it is habitable, and whether it is indeed inhabited. This review is aimed at the astrobiology community, which spans many disciplines, few of which involve exoplanets. It is therefore at a basic level and concentrates on the major topics...
2015-12-01
agencies, the U.S. Department of State is forbidden by law to select anything but the lowest price and ‘technically acceptable ’ offer when awarding...factors are based on an “ acceptable ” or “unacceptable” basis, the award is simply made to the bidder offering the lowest price with an acceptable ... acceptable level of performance. With this information, industry will know what the competitive effect of offering higher performance will be and
Analysis of China's real estate prices and macroeconomy based on evolutionary co-spectral method
Juan Li
2015-04-01
Full Text Available Purpose: This paper investigates the dynamic interaction between the real estate market and the macroeconomic environment of China by use of dynamic coherence function based on co-spectral analysis. Design/methodology/approach: Through a theoretical perspective, the dynamic interrelationship among economic variables at different time intervals (both long and short terms is analyzed. Findings: The empirical results show that China’s real estate market features a high coherence with the change of the long-term interest rate, employment rate and money supply, while there is a moderate coherence between the real estate market and the inflation rate and economic growth rate, and the coherence between the short-term rate of interest and the real estate market is the lowest. Research implications: Previous researches have some shortcomings. They do not consider the dependence between nonlinear series, but the latter is crucial to avoid the deviation of results. In this paper, we proposed a new method of experience to overcome these shortcomings. Originality/value: The paper provides a reasonable explanation accordingly to different coherences between the real estate market and the macroeconomic variables.
Kamachi, Takashi; Yoshizawa, Kazunari
2016-02-22
A conformational search program for finding low-energy conformations of large noncovalent complexes has been developed. A quantitatively reliable semiempirical quantum mechanical PM6-DH+ method, which is able to accurately describe noncovalent interactions at a low computational cost, was employed in contrast to conventional conformational search programs in which molecular mechanical methods are usually adopted. Our approach is based on the low-mode method whereby an initial structure is perturbed along one of its low-mode eigenvectors to generate new conformations. This method was applied to determine the most stable conformation of transition state for enantioselective alkylation by the Maruoka and cinchona alkaloid catalysts and Hantzsch ester hydrogenation of imines by chiral phosphoric acid. Besides successfully reproducing the previously reported most stable DFT conformations, the conformational search with the semiempirical quantum mechanical calculations newly discovered a more stable conformation at a low computational cost.
Methods and means used in programming intelligent searches of technical documents
Gross, David L.
1993-01-01
In order to meet the data research requirements of the Safety, Reliability & Quality Assurance activities at Kennedy Space Center (KSC), a new computer search method for technical data documents was developed. By their very nature, technical documents are partially encrypted because of the author's use of acronyms, abbreviations, and shortcut notations. This problem of computerized searching is compounded at KSC by the volume of documentation that is produced during normal Space Shuttle operations. The Centralized Document Database (CDD) is designed to solve this problem. It provides a common interface to an unlimited number of files of various sizes, with the capability to perform any diversified types and levels of data searches. The heart of the CDD is the nature and capability of its search algorithms. The most complex form of search that the program uses is with the use of a domain-specific database of acronyms, abbreviations, synonyms, and word frequency tables. This database, along with basic sentence parsing, is used to convert a request for information into a relational network. This network is used as a filter on the original document file to determine the most likely locations for the data requested. This type of search will locate information that traditional techniques, (i.e., Boolean structured key-word searching), would not find.
A New Genetic Algorithm Based on Niche Technique and Local Search Method
无
2001-01-01
The genetic algorithm has been widely used in many fields as an easy robust global search and optimization method. In this paper, a new genetic algorithm based on niche technique and local search method is presented under the consideration of inadequacies of the simple genetic algorithm. In order to prove the adaptability and validity of the improved genetic algorithm, optimization problems of multimodal functions with equal peaks, unequal peaks and complicated peak distribution are discussed. The simulation results show that compared to other niching methods, this improved genetic algorithm has obvious potential on many respects, such as convergence speed, solution accuracy, ability of global optimization, etc.
Two tier pricing system recommendation and summary
None
1974-06-01
In both the U.S. and the world today the most critical price system problem is the spectacular crude price set by the OPEC monopoly. In the U.S. this $10.00 plus price currently sets the price of 60% of our crude petroleum input. Therefore, the most powerful method available to reduce U.S. crude input price inflation is to reduce the OPEC monopoly price by at least $2 or 20%. At this price, it would supposedly approximate the long run cost of such energy. The situation is reviewed and recommendations and a summary are provided.
An unconstrained optimization method using nonmonotone second order Goldstein's line search
Wen-yu; SUN; Qun-yan; ZHOU
2007-01-01
In this paper, an unconstrained optimization method using the nonmonotone second order Goldstein's line search is proposed. By using the negative curvature information from the Hessian,the sequence generated is shown to converge to a stationary point with the second order optimality conditions. Numerical tests on a set of standard test problems confirm the efficiency of our new method.
Cross dies forging: A new method to reduce forging force & price up to 80% thanks to FEM method
Mansouri Hamid
2016-01-01
Full Text Available Purpose of this article was to introduce a new method of forging which is called “Cross Die Forging”. In this method, the required force (load is reduced to the greatest possible degree through elimination of flash channel; however, this would also decrease the positive effect of flash channel, namely filling the gaps and pores within the mold. Cross die forging procedure provides a way for providing a better preform design which ensures that the mold is filled without allowing the material to enter the flash channel. This method has been invented based on the need to decrease the production costs and to use lower tonnage pressing devices for production of heavy parts. This method is an economical method only for parts that: A Has at least one plane of symmetry and the two ends that are perpendicular to the symmetry plane are flat; B Has a weight that makes it impossible to be manufactured by rolling or roll forging processes. Examples of such parts are valve’s body, T-junctions, etc.
A three-term conjugate gradient method under the strong-Wolfe line search
Khadijah, Wan; Rivaie, Mohd; Mamat, Mustafa
2017-08-01
Recently, numerous studies have been concerned in conjugate gradient methods for solving large-scale unconstrained optimization method. In this paper, a three-term conjugate gradient method is proposed for unconstrained optimization which always satisfies sufficient descent direction and namely as Three-Term Rivaie-Mustafa-Ismail-Leong (TTRMIL). Under standard conditions, TTRMIL method is proved to be globally convergent under strong-Wolfe line search. Finally, numerical results are provided for the purpose of comparison.
Dual-mode nested search method for categorical uncertain multi-objective optimization
Tang, Long; Wang, Hu
2016-10-01
Categorical multi-objective optimization is an important issue involved in many matching design problems. Non-numerical variables and their uncertainty are the major challenges of such optimizations. Therefore, this article proposes a dual-mode nested search (DMNS) method. In the outer layer, kriging metamodels are established using standard regular simplex mapping (SRSM) from categorical candidates to numerical values. Assisted by the metamodels, a k-cluster-based intelligent sampling strategy is developed to search Pareto frontier points. The inner layer uses an interval number method to model the uncertainty of categorical candidates. To improve the efficiency, a multi-feature convergent optimization via most-promising-area stochastic search (MFCOMPASS) is proposed to determine the bounds of objectives. Finally, typical numerical examples are employed to demonstrate the effectiveness of the proposed DMNS method.
BetaSearch: a new method for querying β-residue motifs
Ho Hui
2012-07-01
Full Text Available Abstract Background Searching for structural motifs across known protein structures can be useful for identifying unrelated proteins with similar function and characterising secondary structures such as β-sheets. This is infeasible using conventional sequence alignment because linear protein sequences do not contain spatial information. β-residue motifs are β-sheet substructures that can be represented as graphs and queried using existing graph indexing methods, however, these approaches are designed for general graphs that do not incorporate the inherent structural constraints of β-sheets and require computationally-expensive filtering and verification procedures. 3D substructure search methods, on the other hand, allow β-residue motifs to be queried in a three-dimensional context but at significant computational costs. Findings We developed a new method for querying β-residue motifs, called BetaSearch, which leverages the natural planar constraints of β-sheets by indexing them as 2D matrices, thus avoiding much of the computational complexities involved with structural and graph querying. BetaSearch exhibits faster filtering, verification, and overall query time than existing graph indexing approaches whilst producing comparable index sizes. Compared to 3D substructure search methods, BetaSearch achieves 33 and 240 times speedups over index-based and pairwise alignment-based approaches, respectively. Furthermore, we have presented case-studies to demonstrate its capability of motif matching in sequentially dissimilar proteins and described a method for using BetaSearch to predict β-strand pairing. Conclusions We have demonstrated that BetaSearch is a fast method for querying substructure motifs. The improvements in speed over existing approaches make it useful for efficiently performing high-volume exploratory querying of possible protein substructural motifs or conformations. BetaSearch was used to identify a nearly identical
A Line-Search-Based Partial Proximal Alternating Directions Method for Separable Convex Optimization
Yu-hua Zeng
2014-01-01
Full Text Available We propose an appealing line-search-based partial proximal alternating directions (LSPPAD method for solving a class of separable convex optimization problems. These problems under consideration are common in practice. The proposed method solves two subproblems at each iteration: one is solved by a proximal point method, while the proximal term is absent from the other. Both subproblems admit inexact solutions. A line search technique is used to guarantee the convergence. The convergence of the LSPPAD method is established under some suitable conditions. The advantage of the proposed method is that it provides the tractability of the subproblem in which the proximal term is absent. Numerical tests show that the LSPPAD method has better performance compared with the existing alternating projection based prediction-correction (APBPC method if both are employed to solve the described problem.
Price and consumption of tobacco
Virendra Singh; Bharat Bhushan Sharma; Puneet Saxena; Hardayal Meena; Daya Krishan Mangal
2012-01-01
Background: It is thought that price increase in tobacco products leads to reduced consumption. Though many studies have substantiated this concept, it has not been well studied in India. Recently, price of tobacco products was increased due to ban on plastic sachets of chewing tobacco and increased tax in Rajasthan. This study was designed to evaluate the effect of price rise on overall consumption of tobacco in Jaipur city, Rajasthan. Materials and Methods: This study was carried out in Jai...
A semantics-based method for clustering of Chinese web search results
Zhang, Hui; Wang, Deqing; Wang, Li; Bi, Zhuming; Chen, Yong
2014-01-01
Information explosion is a critical challenge to the development of modern information systems. In particular, when the application of an information system is over the Internet, the amount of information over the web has been increasing exponentially and rapidly. Search engines, such as Google and Baidu, are essential tools for people to find the information from the Internet. Valuable information, however, is still likely submerged in the ocean of search results from those tools. By clustering the results into different groups based on subjects automatically, a search engine with the clustering feature allows users to select most relevant results quickly. In this paper, we propose an online semantics-based method to cluster Chinese web search results. First, we employ the generalised suffix tree to extract the longest common substrings (LCSs) from search snippets. Second, we use the HowNet to calculate the similarities of the words derived from the LCSs, and extract the most representative features by constructing the vocabulary chain. Third, we construct a vector of text features and calculate snippets' semantic similarities. Finally, we improve the Chameleon algorithm to cluster snippets. Extensive experimental results have shown that the proposed algorithm has outperformed over the suffix tree clustering method and other traditional clustering methods.
Free Energy-Based Conformational Search Algorithm Using the Movable Type Sampling Method.
Pan, Li-Li; Zheng, Zheng; Wang, Ting; Merz, Kenneth M
2015-12-08
In this article, we extend the movable type (MT) sampling method to molecular conformational searches (MT-CS) on the free energy surface of the molecule in question. Differing from traditional systematic and stochastic searching algorithms, this method uses Boltzmann energy information to facilitate the selection of the best conformations. The generated ensembles provided good coverage of the available conformational space including available crystal structures. Furthermore, our approach directly provides the solvation free energies and the relative gas and aqueous phase free energies for all generated conformers. The method is validated by a thorough analysis of thrombin ligands as well as against structures extracted from both the Protein Data Bank (PDB) and the Cambridge Structural Database (CSD). An in-depth comparison between OMEGA and MT-CS is presented to illustrate the differences between the two conformational searching strategies, i.e., energy-based versus free energy-based searching. These studies demonstrate that our MT-based ligand conformational search algorithm is a powerful approach to delineate the conformational ensembles of molecular species on free energy surfaces.
Distributed Cooperative Search Control Method of Multiple UAVs for Moving Target
Chang-jian Ru
2015-01-01
Full Text Available To reduce the impact of uncertainties caused by unknown motion parameters on searching plan of moving targets and improve the efficiency of UAV’s searching, a novel distributed Multi-UAVs cooperative search control method for moving target is proposed in this paper. Based on detection results of onboard sensors, target probability map is updated using Bayesian theory. A Gaussian distribution of target transition probability density function is introduced to calculate prediction probability of moving target existence, and then target probability map can be further updated in real-time. A performance index function combining with target cost, environment cost, and cooperative cost is constructed, and the cooperative searching problem can be transformed into a central optimization problem. To improve computational efficiency, the distributed model predictive control method is presented, and thus the control command of each UAV can be obtained. The simulation results have verified that the proposed method can avoid the blindness of UAV searching better and improve overall efficiency of the team effectively.
A conjugate gradient method with descent properties under strong Wolfe line search
Zull, N.; ‘Aini, N.; Shoid, S.; Ghani, N. H. A.; Mohamed, N. S.; Rivaie, M.; Mamat, M.
2017-09-01
The conjugate gradient (CG) method is one of the optimization methods that are often used in practical applications. The continuous and numerous studies conducted on the CG method have led to vast improvements in its convergence properties and efficiency. In this paper, a new CG method possessing the sufficient descent and global convergence properties is proposed. The efficiency of the new CG algorithm relative to the existing CG methods is evaluated by testing them all on a set of test functions using MATLAB. The tests are measured in terms of iteration numbers and CPU time under strong Wolfe line search. Overall, this new method performs efficiently and comparable to the other famous methods.
A new method of option pricing based on Black-Scholes model%基于Black-Scholes模型的期权定价新方法
沈玉波; 张待见; 宋立新
2011-01-01
考虑到实际金融市场的不完备性以及收益率分布的厚尾性,基于经典Black-Scholes模型并运用函数的下凸性,期权定价公式H（a）=E[（X-a）2]被推广为Hk（a）=E[（X-a）2k].通过DJSH（道琼斯上海）指数收益率的GARCH模型,并使用随机模拟的方法对这两个公式进行定价比较.结果表明这种方法有效提高了定价,从而降低了风险.%Actual financial markets are incompleted and distributions of yield rate are fat-tailed,so based on the classical Black-Scholes model and using downward convex property of function,option pricing formula H（a）=E[（X-a）2] is generalized to Hk（a）=E[（X-a）2k].With the GARCH model of DJSH rate and by using the method of stochastic simulation,effects of the two pricing formulas are compared.The results show that the new formula of option pricing effectively increases the price and reduces the risk.
生态公益林林木收购计价方法研究%Valuation Method of Acquisition Price for Ecological Forest Ownership
廖建国; 蔡敏; 林力
2012-01-01
Based on practical investigation and taken the acquisition price of public products as theory basis, four kinds of valuation method for ecological forest ownership including historical cost valuation, forest asset assessment valuation, willingness acquisition price valuation, land compensation standard valuation also were analyzed. The results showed that standards of country acquisition price for ecological forest should take historical cost valuation as the lower limit, and take forest asset assessment valuation as the upper limit, and consult with the owner of ecological forest, and then established the standard of acquisition price for ecological forest scientifically.%通过实践调研,基于公共产品收购计价理论依据,对历史成本计价法、林木资产评估计价法、意愿收购计价法、征用林地补偿标准计价法等4种林木收购计价方法进行了分析.认为国家收购生态公益林林木计价标准应以历史成本计价法测算值为下限,以林木资产评估计价法测算值为上限,与生态公益林所有者充分协商后确定.
Gholamreza Zamanian
2013-12-01
Full Text Available The scarcity of water resources and supply resources limitation, have caused an increasing gap between water supply and demand specially in recent decades in almost all regions of the globe. One of the best known solutions proposed by the economists is using the different water pricing approaches thereby obtaining the optimal allocation and social justice. To this purpose, this paper uses the positive Mathematical Programming (PMP and Econometric Mathematical Programming (EMP in a comparative analysis to study the economic and welfare impacts of alternative water pricing approaches in the agricultural sector during agricultural period 2011/2012 in Khomein plain of Markazi province in Iran. Results show that the EMP can be a better alternative approach instead of PMP to better analyze of agricultural policies. According to the final outcomes, it is suggested to apply the block tariff in place of volumetric pricing method to reach the optimal allocation and promoting the water efficiency in the price range of 198 to 853 Rials.
The Search Conference as a Method in Planning Community Health Promotion Actions.
Magnus, Eva; Knudtsen, Margunn Skjei; Wist, Guri; Weiss, Daniel; Lillefjell, Monica
2016-08-19
Aims: The aim of this article is to describe and discuss how the search conference can be used as a method for planning health promotion actions in local communities. Design and methods: The article draws on experiences with using the method for an innovative project in health promotion in three Norwegian municipalities. The method is described both in general and how it was specifically adopted for the project. Results and conclusions: The search conference as a method was used to develop evidence-based health promotion action plans. With its use of both bottom-up and top-down approaches, this method is a relevant strategy for involving a community in the planning stages of health promotion actions in line with political expectations of participation, ownership, and evidence-based initiatives.
The search conference as a method in planning community health promotion actions
Eva Magnus
2016-08-01
Full Text Available Aims: The aim of this article is to describe and discuss how the search conference can be used as a method for planning health promotion actions in local communities. Design and methods: The article draws on experiences with using the method for an innovative project in health promotion in three Norwegian municipalities. The method is described both in general and how it was specifically adopted for the project. Results and conclusions: The search conference as a method was used to develop evidence-based health promotion action plans. With its use of both bottom-up and top-down approaches, this method is a relevant strategy for involving a community in the planning stages of health promotion actions in line with political expectations of participation, ownership, and evidence-based initiatives.
1978-09-25
In current and previous efforts, ECON has provided a preliminary economic assessment of a fusion research program. Part of this effort was the demonstration of a methodology for the estimation of reactor system costs and risk and for the treatment of program alternatives as a series of steps (tests) to buy information, thereby controlling program risk and providing a sound economic rationale for properly constructed research programs. The first phase of work also identified two areas which greatly affect the overall economic evaluation of fusion research and which warranted further study in the second phase. This led to the two tasks of the second phase reported herein: (1) discount rate determination and (2) evaluation of the effect of the expectation of the introduction of fusion power on current fossil fuel prices. In the first task, various conceptual measures of the social rate of discount were reviewed and critiqued. In the second task, a benefit area that had been called out by ECON was further examined. Long-range R and D yields short-term benefits in the form of lower nonrenewable energy resource prices because the R and D provides an expectation of future competition for the remaining reserves at the time of technology availability. ECON developed a model of optimal OPEC petroleum pricing as a function of the expectation of future competing technologies. It was shown that the existence of this expectation lowers the optimal OPEC export price and that accelerated technology R and D programs should provide further price decreases. These price reductions translate into benefits to the U.S. of at least a billion dollars.
A new greedy search method for the design of digital IIR filter
Ranjit Kaur
2015-07-01
Full Text Available A new greedy search method is applied in this paper to design the optimal digital infinite impulse response (IIR filter. The greedy search method is based on binary successive approximation (BSA and evolutionary search (ES. The suggested greedy search method optimizes the magnitude response and the phase response simultaneously and also finds the lowest order of the filter. The order of the filter is controlled by a control gene whose value is also optimized along with the filter coefficients to obtain optimum order of designed IIR filter. The stability constraints of IIR filter are taken care of during the design procedure. To determine the trade-off relationship between conflicting objectives in the non-inferior domain, the weighting method is exploited. The proposed approach is effectively applied to solve the multiobjective optimization problems of designing the digital low-pass (LP, high-pass (HP, bandpass (BP, and bandstop (BS filters. It has been demonstrated that this technique not only fulfills all types of filter performance requirements, but also the lowest order of the filter can be found. The computational experiments show that the proposed approach gives better digital IIR filters than the existing evolutionary algorithm (EA based methods.
Evans David B
2006-04-01
Full Text Available Abstract Background National and international policy makers have been increasing their focus on developing strategies to enable poor countries achieve the millennium development goals. This requires information on the costs of different types of health interventions and the resources needed to scale them up, either singly or in combinations. Cost data also guides decisions about the most appropriate mix of interventions in different settings, in view of the increasing, but still limited, resources available to improve health. Many cost and cost-effectiveness studies include only the costs incurred at the point of delivery to beneficiaries, omitting those incurred at other levels of the system such as administration, media, training and overall management. The few studies that have measured them directly suggest that they can sometimes account for a substantial proportion of total costs, so that their omission can result in biased estimates of the resources needed to run a programme or the relative cost-effectiveness of different choices. However, prices of different inputs used in the production of health interventions can vary substantially within a country. Basing cost estimates on a single price observation runs the risk that the results are based on an outlier observation rather than the typical costs of the input. Methods We first explore the determinants of the observed variation in the prices of selected "non-traded" intermediate inputs to health programmes – printed matter and media advertising, and water and electricity – accounting for variation within and across countries. We then use the estimated relationship to impute average prices for countries where limited data are available with uncertainty intervals. Results Prices vary across countries with GDP per capita and a number of determinants of supply and demand. Media and printing were inelastic with respect to GDP per capita, with a positive correlation, while the utilities
Nuraini Sari
2015-12-01
Full Text Available The purpose of this study is to evaluate about how Starbucks Corporation uses transfer pricing to minimize the tax bill. In addition, the study also will evaluate how Indonesia’s domestic rules can overcome the case if Starbucks UK case happens in Indonesia. There are three steps conducted in this study. First, using information provided by UK Her Majesty's Revenue and Customs (HMRC and other related articles, find methods used by Starbucks UK to minimize the tax bill. Second, find Organisation for Economic Co-Operation and Development (OECD viewpoint regarding Starbucks Corporation cases. Third, analyze how Indonesia’s transfer pricing rules will work if Starbucks UK’s cases happened in Indonesia. The results showed that there were three inter-company transactions that helped Starbucks UK to minimize the tax bill, such as coffee costs, royalty on intangible property, and interest on inter-company loans. Through a study of OECD’s BEPS action plans, it is recommended to improve the OECD Model Tax Convention including Indonesia’s domestic tax rules in order to produce a fair and transparent judgment on transfer pricing. This study concluded that by using current tax rules, although UK HMRC has been disadvantaged because transfer pricing practices done by most of multinational companies, UK HMRC still cannot prove the transfer pricing practices are not consistent with arm’s length principle. Therefore, current international tax rules need to be improved.
Chang, Ting-Wen; Kinshuk; Chen, Nian-Shing; Yu, Pao-Ta
2012-01-01
This study investigates the effects of successive and simultaneous information presentation methods on learner's visual search ability and working memory load for different information densities. Since the processing of information in the brain depends on the capacity of visual short-term memory (VSTM), the limited information processing capacity…
A Teaching Approach from the Exhaustive Search Method to the Needleman-Wunsch Algorithm
Xu, Zhongneng; Yang, Yayun; Huang, Beibei
2017-01-01
The Needleman-Wunsch algorithm has become one of the core algorithms in bioinformatics; however, this programming requires more suitable explanations for students with different major backgrounds. In supposing sample sequences and using a simple store system, the connection between the exhaustive search method and the Needleman-Wunsch algorithm…
Jyothi Unnikrishnan
2016-01-01
Full Text Available The study attempts to determine the impact of government policies of import of gold in India on the domestic price of gold during 2013 using Autoregressive Integrated Moving Average (ARIMA intervention model. 2013 was an amazing year for Indian gold market where the price had reached its zenith. In April 2013, to curb a record trade deficit, India imposed an import duty of 10 percent on gold and tied imports for domestic consumption to exports, creating scarce supply of the yellow metal and boosting premiums to curtail the Current Account Deficit (CAD. The objective of the paper is to model the impact of this intervention by the government on the domestic price of Indian gold. Suitable ARIMA model is fit on the preintervention period and thereafter the effects of the interventions are analysed. The results indicate that ARIMA (1,1,1 is the most suitable model during preintervention period. Intervention analysis reveals that there is significant decrease in domestic price of gold by 56% from 2013. The model may be used by policymakers to analyse the future of gold before framing regulations and policies.
Law of One Price and Optimal Consumption-Leisure Choice Under Price Dispersion
Sergey MALAKHOV
2016-03-01
Full Text Available If the demand under price dispersion is formed by consumers with zero search costs and consumers with positive search costs, the law of one price holds at the equilibrium price level, where the lowest willingness to pay between consumers with zero search costs meets the willingness to accept or to sell of consumers with positive search costs. Consumers with positive search costs maximize their utility with respect to their optimal decisions when marginal losses in labor income during the search are equal to marginal savings on purchase. Optimal decisions move their willingness to accept to the equilibrium price level. Suboptimal decisions of consumers with positive search costs result in willingness to accept below the lowest willingness to pay of consumers with zero search costs and arbitrage takes place. Arbitrage drops down the equilibrium price to the level where willingness to accept of consumers with positive search costs meets the new lowest willingness to pay of consumers with zero search costs and where purchasing decisions of consumers with positive search costs become optimal.
A Method for Detecting the Real Location of Agency Website Based On Search Engine
Chou Xiao-Hui
2016-01-01
Full Text Available This paper provides a method to detect the real location of agency website based on search engine. We will analyze and process the target agency website to obtain the server routing information, extract critical feature information from web content, combine with search engine to acquire web data, and calculate word frequency. Through named entity recognition, web text matching calculation and syntactic analysis, we can infer real location of the target agency website in the real world. The experimental results show that our approach is reliable, correct and effective.
48 CFR 1815.403 - Obtaining cost or pricing data.
2010-10-01
... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Obtaining cost or pricing... ADMINISTRATION CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 1815.403 Obtaining cost or pricing data....
48 CFR 15.407 - Special cost or pricing areas.
2010-10-01
... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Special cost or pricing... CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 15.407 Special cost or pricing areas....
48 CFR 1815.407 - Special cost or pricing areas.
2010-10-01
... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Special cost or pricing... ADMINISTRATION CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 1815.407 Special cost or pricing areas....
48 CFR 1315.407 - Special cost or pricing areas.
2010-10-01
... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Special cost or pricing... CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 1315.407 Special cost or pricing areas....
Removing External Degrees of Freedom from Transition-State Search Methods using Quaternions
Melander, Marko; Jonsson, Hannes
2015-01-01
In finite systems, such as nanoparticles and gas-phase molecules, calculations of minimum energy paths (MEPs) connecting initial and final states of transitions as well as searches for saddle points are complicated by the presence of external degrees of freedom, such as overall translation and rotation. A method based on quaternion algebra for removing the external degrees of freedom is described here and applied in calculations using two commonly used methods: the nudged elastic band (NEB) method for MEPs and the DIMER method for finding the minimum mode in minimum mode following searches of first-order saddle points. With the quaternion approach, fewer images in the NEB are needed to represent MEPs accurately. In both NEB and DIMER calculations of finite systems, the number of iterations required to reach convergence is significantly reduced. The algorithms have been implemented in the Atomic Simulation Environment (ASE) open source software.
A hybrid Tabu search-simulated annealing method to solve quadratic assignment problem
Mohamad Amin Kaviani
2014-06-01
Full Text Available Quadratic assignment problem (QAP has been considered as one of the most complicated problems. The problem is NP-Hard and the optimal solutions are not available for large-scale problems. This paper presents a hybrid method using tabu search and simulated annealing technique to solve QAP called TABUSA. Using some well-known problems from QAPLIB generated by Burkard et al. (1997 [Burkard, R. E., Karisch, S. E., & Rendl, F. (1997. QAPLIB–a quadratic assignment problem library. Journal of Global Optimization, 10(4, 391-403.], two methods of TABUSA and TS are both coded on MATLAB and they are compared in terms of relative percentage deviation (RPD for all instances. The performance of the proposed method is examined against Tabu search and the preliminary results indicate that the hybrid method is capable of solving real-world problems, efficiently.
An Efficient Hybrid Conjugate Gradient Method with the Strong Wolfe-Powell Line Search
Ahmad Alhawarat
2015-01-01
Full Text Available Conjugate gradient (CG method is an interesting tool to solve optimization problems in many fields, such as design, economics, physics, and engineering. In this paper, we depict a new hybrid of CG method which relates to the famous Polak-Ribière-Polyak (PRP formula. It reveals a solution for the PRP case which is not globally convergent with the strong Wolfe-Powell (SWP line search. The new formula possesses the sufficient descent condition and the global convergent properties. In addition, we further explained about the cases where PRP method failed with SWP line search. Furthermore, we provide numerical computations for the new hybrid CG method which is almost better than other related PRP formulas in both the number of iterations and the CPU time under some standard test functions.
Application of Maximum Entropy Method on Option Pricing%最大熵方法在组合期权定价中的应用
董莹; 季鑫
2012-01-01
在欧式期权的基础上,采用最大熵方法,求得无偏差的概率分布,对组合期权进行定价与求解.在此过程中,应用自融资无套利市场原理作为变化的基础,在无风险资产同时存在的条件下,通过惩罚函数法及BFGS算法的综合应用进行价格求解,使组合期权定价方法更为准确.%On the basis of the European option,combined option pricing can be measured and solved by a series of probability distribution which can be produced by the maximum entropy method.Regarding the theory of the self-financing and no-arbitrage as the basis of changing,the combined option pricing can be made in the condition of risk-free assets by the methods of penalty function and BFGS algorithm,which makes the method of combined option pricing can be settled accurately.
Kaijun Zhou
2017-09-01
Full Text Available The Jump Point Search (JPS algorithm is adopted for local path planning of the driverless car under urban environment, and it is a fast search method applied in path planning. Firstly, a vector Geographic Information System (GIS map, including Global Positioning System (GPS position, direction, and lane information, is built for global path planning. Secondly, the GIS map database is utilized in global path planning for the driverless car. Then, the JPS algorithm is adopted to avoid the front obstacle, and to find an optimal local path for the driverless car in the urban environment. Finally, 125 different simulation experiments in the urban environment demonstrate that JPS can search out the optimal and safety path successfully, and meanwhile, it has a lower time complexity compared with the Vector Field Histogram (VFH, the Rapidly Exploring Random Tree (RRT, A*, and the Probabilistic Roadmaps (PRM algorithms. Furthermore, JPS is validated usefully in the structured urban environment.
On the importance of graph search algorithms for DRGEP-based mechanism reduction methods
Niemeyer, Kyle E
2016-01-01
The importance of graph search algorithm choice to the directed relation graph with error propagation (DRGEP) method is studied by comparing basic and modified depth-first search, basic and R-value-based breadth-first search (RBFS), and Dijkstra's algorithm. By using each algorithm with DRGEP to produce skeletal mechanisms from a detailed mechanism for n-heptane with randomly-shuffled species order, it is demonstrated that only Dijkstra's algorithm and RBFS produce results independent of species order. In addition, each algorithm is used with DRGEP to generate skeletal mechanisms for n-heptane covering a comprehensive range of autoignition conditions for pressure, temperature, and equivalence ratio. Dijkstra's algorithm combined with a coefficient scaling approach is demonstrated to produce the most compact skeletal mechanism with a similar performance compared to larger skeletal mechanisms resulting from the other algorithms. The computational efficiency of each algorithm is also compared by applying the DRG...
Bakkiyaraj, Ashok; Kumarappan, N.
2015-09-01
This paper presents a new approach for evaluating the reliability indices of a composite power system that adopts binary differential evolution (BDE) algorithm in the search mechanism to select the system states. These states also called dominant states, have large state probability and higher loss of load curtailment necessary to maintain real power balance. A chromosome of a BDE algorithm represents the system state. BDE is not applied for its traditional application of optimizing a non-linear objective function, but used as tool for exploring more number of dominant states by producing new chromosomes, mutant vectors and trail vectors based on the fitness function. The searched system states are used to evaluate annualized system and load point reliability indices. The proposed search methodology is applied to RBTS and IEEE-RTS test systems and results are compared with other approaches. This approach evaluates the indices similar to existing methods while analyzing less number of system states.
Diagnostics of the technical condition of gas turbine engines by the random search method
Shepel' , V.T.; Kabashov, M.A.
1981-01-01
One of the methods of diagnosis of gas turbine engines according to a limited number of controllable thermodynamic parameters is considered. It makes use of a priori information about the object of diagnosis, including both the information about the assumed defect or a group of defects, and information about the region of possible variations of characteristics of engine components or elements. The random search method with adaptation serves as the basis for the procedures.
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Hoos Holger H
2007-04-01
Full Text Available Abstract Background The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This problem has played a prominent role in the fields of biomolecular physics and algorithm design for over 50 years. Additionally, its importance increases continually as a result of an exponential growth over time in the number of known protein sequences in contrast to a linear increase in the number of determined structures. Our work focuses on the problem of searching an exponentially large space of possible conformations as efficiently as possible, with the goal of finding a global optimum with respect to a given energy function. This problem plays an important role in the analysis of systems with complex search landscapes, and particularly in the context of ab initio protein structure prediction. Results In this work, we introduce a novel approach for solving this conformation search problem based on the use of a bin framework for adaptively storing and retrieving promising locally optimal solutions. Our approach provides a rich and general framework within which a broad range of adaptive or reactive search strategies can be realized. Here, we introduce adaptive mechanisms for choosing which conformations should be stored, based on the set of conformations already stored in memory, and for biasing choices when retrieving conformations from memory in order to overcome search stagnation. Conclusion We show that our bin framework combined with a widely used optimization method, Monte Carlo search, achieves significantly better performance than state-of-the-art generalized ensemble methods for a well-known protein-like homopolymer model on the face-centered cubic lattice.
A method of characterizing network topology based on the breadth-first search tree
Zhou, Bin; He, Zhe; Wang, Nianxin; Wang, Bing-Hong
2016-05-01
A method based on the breadth-first search tree is proposed in this paper to characterize the hierarchical structure of network. In this method, a similarity coefficient is defined to quantitatively distinguish networks, and quantitatively measure the topology stability of the network generated by a model. The applications of the method are discussed in ER random network, WS small-world network and BA scale-free network. The method will be helpful for deeply describing network topology and provide a starting point for researching the topology similarity and isomorphism of networks.
Active Search on Carcasses versus Pitfall Traps: a Comparison of Sampling Methods.
Zanetti, N I; Camina, R; Visciarelli, E C; Centeno, N D
2016-04-01
The study of insect succession in cadavers and the classification of arthropods have mostly been done by placing a carcass in a cage, protected from vertebrate scavengers, which is then visited periodically. An alternative is to use specific traps. Few studies on carrion ecology and forensic entomology involving the carcasses of large vertebrates have employed pitfall traps. The aims of this study were to compare both sampling methods (active search on a carcass and pitfall trapping) for each coleopteran family, and to establish whether there is a discrepancy (underestimation and/or overestimation) in the presence of each family by either method. A great discrepancy was found for almost all families with some of them being more abundant in samples obtained through active search on carcasses and others in samples from traps, whereas two families did not show any bias towards a given sampling method. The fact that families may be underestimated or overestimated by the type of sampling technique highlights the importance of combining both methods, active search on carcasses and pitfall traps, in order to obtain more complete information on decomposition, carrion habitat and cadaveric families or species. Furthermore, a hypothesis advanced on the reasons for the underestimation by either sampling method showing biases towards certain families. Information about the sampling techniques indicating which would be more appropriate to detect or find a particular family is provided.
Kenneth Burdett; Guido Menzio
2013-01-01
We study the effect of menu costs on the pricing behavior of sellers and on the cross-sectional distribution of prices in the search-theoretic model of imperfect competition of Burdett and Judd (1983). We find that, when menu costs are small, the equilibrium is such that sellers follow a (Q, S, s) pricing rule. According to a (Q, S, s) rule, a seller lets inflation erode the real value of its nominal price until it reaches some point s. Then, the seller pays the menu cost and changes its nomi...
An Analysis of the Factors and Methods of E-book Pricing in China%我国电子书定价的影响因素及方法探析
刘银娣
2014-01-01
我国电子书市场定价混乱，在某种程度上造成了电子书销售市场的无序状态。分析了我国电子书价格现状，并在此基础上对读者、市场、版权、价值和成本等电子书价格的相关影响要素及其重要程度进行了分析，总结了我国电子书定价的方法，包括渗透定价法、差别化定价法、捆绑定价法和尾数定价法等。%The confusion of e-book market pricing, to some extent, has caused the disorder of book sales market. We analyze the current situation of e-books prices in China.And on the basis of the relevant factors affecting e-book pricing, including e-book reader, market, copyright, value and cost and their importance were analyzed, we summarize the method of pricing of e-books, including penetration pricing, differentiated pricing, bundled pricing and ending pricing method.
Blake, Miranda R; Peeters, Anna; Lancsar, Emily; Boelsen-Robinson, Tara; Corben, Kirstan; Stevenson, Christopher E; Palermo, Claire; Backholer, Kathryn
2017-09-01
Limited evidence has been gathered on the real-world impact of sugar-sweetened beverage price changes on purchasing behavior over time or in community-retail settings. Our aim was to determine changes in beverage purchases, business outcomes, and customer and retailer satisfaction associated with a retailer-led sugar-sweetened beverage price increase in a convenience store. We hypothesized that purchases of less-healthy beverages would decrease compared to predicted sales. A convergent parallel mixed methods design complemented sales data (122 weeks pre-intervention, 17 weeks during intervention) with stakeholder interviews and customer surveys. Electronic beverage sales data were collected from a convenience store in Melbourne, Australia (August through November 2015). Convenience store staff completed semi-structured interviews (n=4) and adult customers exiting the store completed surveys (n=352). Beverages were classified using a state government framework. Prices of "red" beverages (eg, nondiet soft drinks, energy drinks) increased by 20%. Prices of "amber" (eg, diet soft drinks, small pure fruit juices) and "green" beverages (eg, water) were unchanged. Changes in beverage volume, item sales, and revenue during the intervention were compared with predicted sales. Sales data were analyzed using time series segmented regression while controlling for pre-intervention trends, autocorrelation in sales data, and seasonal fluctuations. Beverage volume sales of red (-27.6%; 95% CI -32.2 to -23.0) and amber (-26.7%; 95% CI -39.3 to -16.0) decreased, and volume of green beverages increased (+26.9%; 95% CI +14.1 to +39.7) in the 17th intervention week compared with predicted sales. Store manager and staff considered the intervention business-neutral, despite a small reduction in beverage revenue. Fifteen percent of customers noticed the price difference and 61% supported the intervention. A 20% sugar-sweetened beverage price increase was associated with a reduction
许艳琼
2009-01-01
文章介绍了合理低价中标法的评标方法,阐述了对于这种评标方法投标人应采取的报价策略.%The article introduced the reasonable low price is selected method the evaluation of tenders method, elaborated should adopt the quoted price strategy regarding this kind of evaluation of tenders method tenderer.
Fast optimization of binary clusters using a novel dynamic lattice searching method.
Wu, Xia; Cheng, Wen
2014-09-28
Global optimization of binary clusters has been a difficult task despite of much effort and many efficient methods. Directing toward two types of elements (i.e., homotop problem) in binary clusters, two classes of virtual dynamic lattices are constructed and a modified dynamic lattice searching (DLS) method, i.e., binary DLS (BDLS) method, is developed. However, it was found that the BDLS can only be utilized for the optimization of binary clusters with small sizes because homotop problem is hard to be solved without atomic exchange operation. Therefore, the iterated local search (ILS) method is adopted to solve homotop problem and an efficient method based on the BDLS method and ILS, named as BDLS-ILS, is presented for global optimization of binary clusters. In order to assess the efficiency of the proposed method, binary Lennard-Jones clusters with up to 100 atoms are investigated. Results show that the method is proved to be efficient. Furthermore, the BDLS-ILS method is also adopted to study the geometrical structures of (AuPd)79 clusters with DFT-fit parameters of Gupta potential.
A new method to search for high-redshift clusters using photometric redshifts
Castignani, G.; Celotti, A. [SISSA, Via Bonomea 265, I-34136 Trieste (Italy); Chiaberge, M.; Norman, C., E-mail: castigna@sissa.it [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States)
2014-09-10
We describe a new method (Poisson probability method, PPM) to search for high-redshift galaxy clusters and groups by using photometric redshift information and galaxy number counts. The method relies on Poisson statistics and is primarily introduced to search for megaparsec-scale environments around a specific beacon. The PPM is tailored to both the properties of the FR I radio galaxies in the Chiaberge et al. sample, which are selected within the COSMOS survey, and to the specific data set used. We test the efficiency of our method of searching for cluster candidates against simulations. Two different approaches are adopted. (1) We use two z ∼ 1 X-ray detected cluster candidates found in the COSMOS survey and we shift them to higher redshift up to z = 2. We find that the PPM detects the cluster candidates up to z = 1.5, and it correctly estimates both the redshift and size of the two clusters. (2) We simulate spherically symmetric clusters of different size and richness, and we locate them at different redshifts (i.e., z = 1.0, 1.5, and 2.0) in the COSMOS field. We find that the PPM detects the simulated clusters within the considered redshift range with a statistical 1σ redshift accuracy of ∼0.05. The PPM is an efficient alternative method for high-redshift cluster searches that may also be applied to both present and future wide field surveys such as SDSS Stripe 82, LSST, and Euclid. Accurate photometric redshifts and a survey depth similar or better than that of COSMOS (e.g., I < 25) are required.
A new method to search for high redshift clusters using photometric redshifts
Castignani, Gianluca; Celotti, Annalisa; Norman, Colin
2014-01-01
We describe a new method (Poisson Probability Method, PPM) to search for high redshift galaxy clusters and groups by using photometric redshift information and galaxy number counts. The method relies on Poisson statistics and is primarily introduced to search for Mpc-scale environments around a specific beacon. The PPM is tailored to both the properties of the FR I radio galaxies in the Chiaberge et al. (2009) sample, that are selected within the COSMOS survey, and on the specific dataset used. We test the efficiency of our method of searching for cluster candidates against simulations. Two different approaches are adopted. i) We use two z~1 X-ray detected cluster candidates found in the COSMOS survey and we shift them to higher redshift up to z=2. We find that the PPM detects the cluster candidates up to z=1.5, and it correctly estimates both the redshift and size of the two clusters. ii) We simulate spherically symmetric clusters of different size and richness, and we locate them at different redshifts (i.e...
Frequency domain optical tomography using a conjugate gradient method without line search
Kim, Hyun Keol [Departement des Sciences Appliquees, Universite du Quebec a Chicoutimi, 555 Boulevard de l' Universite, P4-3240, Chicoutimi, Quebec, G7H 2B1 (Canada); Charette, Andre [Departement des Sciences Appliquees, Universite du Quebec a Chicoutimi, 555 Boulevard de l' Universite, P4-3240, Chicoutimi, Quebec, G7H 2B1 (Canada)]. E-mail: andre_charette@uqac.ca
2007-03-15
A conjugate gradient method without line search (CGMWLS) is presented. This method is used to retrieve the local maps of absorption and scattering coefficients inside the tissue-like test medium, with the synthetic data. The forward problem is solved with a discrete-ordinates finite-difference method based on the frequency domain formulation of radiative transfer equation. The inversion results demonstrate that the CGMWLS can retrieve simultaneously the spatial distributions of optical properties inside the medium within a reasonable accuracy, by reducing cross-talk between absorption and scattering coefficients.
Neural Based Tabu Search method for solving unit commitment problem with cooling-banking constraints
Rajan Asir Christober Gnanakkan Charles
2009-01-01
Full Text Available This paper presents a new approach to solve short-term unit commitment problem (UCP using Neural Based Tabu Search (NBTS with cooling and banking constraints. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also means that it is desirable to find the optimal generating unit commitment in the power system for next H hours. A 7-unit utility power system in India demonstrates the effectiveness of the proposed approach; extensive studies have also been performed for different IEEE test systems consist of 10, 26 and 34 units. Numerical results are shown to compare the superiority of the cost solutions obtained using the Tabu Search (TS method, Dynamic Programming (DP and Lagrangian Relaxation (LR methods in reaching proper unit commitment.
Korotkov, E. V.; Korotkova, M. A.
2017-01-01
The purpose of this study was to detect latent periodicity in the presence of deletions or insertions in the analyzed data, when the points of deletions or insertions are unknown. A mathematical method was developed to search for periodicity in the numerical series, using dynamic programming and random matrices. The developed method was applied to search for periodicity in the Euro/Dollar (Eu/) exchange rate, since 2001. The presence of periodicity within the period length equal to 24 h in the analyzed financial series was shown. Periodicity can be detected only with insertions and deletions. The results of this study show that periodicity phase shifts, depend on the observation time. The reasons for the existence of the periodicity in the financial ranks are discussed.
Analysis of search-extension method for finding multiple solutions of nonlinear problem
2008-01-01
For numerical computations of multiple solutions of the nonlinear elliptic problemΔu+ f（u）=0 inΩ, u=0 onΓ, a search-extension method （SEM） was proposed and systematically studied by the authors. This paper shall complete its theoretical analysis. It is assumed that the nonlinearity is non-convex and its solution is isolated, under some conditions the corresponding linearized problem has a unique solution. By use of the compactness of the solution family and the contradiction argument, in general conditions, the high order regularity of the solution u∈H1+α,α>0 is proved. Assume that some initial value searched by suitably many eigenbases is already fallen into the neighborhood of the isolated solution, then the optimal error estimates of its nonlinear finite element approximation are shown by the duality argument and continuation method.
Extended Mixture of MLP Experts by Hybrid of Conjugate Gradient Method and Modified Cuckoo Search
Salimi, Hamid; Soltanshahi, Mohammad Ali; Hatami, Javad
2012-01-01
This paper investigates a new method for improving the learning algorithm of Mixture of Experts (ME) model using a hybrid of Modified Cuckoo Search (MCS) and Conjugate Gradient (CG) as a second order optimization technique. The CG technique is combined with Back-Propagation (BP) algorithm to yield a much more efficient learning algorithm for ME structure. In addition, the experts and gating networks in enhanced model are replaced by CG based Multi-Layer Perceptrons (MLPs) to provide faster and more accurate learning. The CG is considerably depends on initial weights of connections of Artificial Neural Network (ANN), so, a metaheuristic algorithm, the so-called Modified Cuckoo Search is applied in order to select the optimal weights. The performance of proposed method is compared with Gradient Decent Based ME (GDME) and Conjugate Gradient Based ME (CGME) in classification and regression problems. The experimental results show that hybrid MSC and CG based ME (MCS-CGME) has faster convergence and better performa...
Establishment of the methods for searching eukaryotic gene cis-regulatory modules.
Zhong, Dong; Zhang, Zhen-shu; Liu, Yu-hu; Zheng, Guo-qing; Liu, Xiao-yi; Lu, Yang; Zhao, Gui-jun; Xu, An-long
2004-02-01
On the basis of the knowledge of eukaryotic gene regulation, we modified the method in three aspects: (1) Searching the cis-regulatory modules (CRM) according Fasta or Blast sequence with multiple sequence and low E value, followed by mutual scoring of these sequence with Smith-Waterman algorithms and finally by clustering analysis; (2) Searching the transcription factor-binding site using International Union of Pure and Applied Chemistry, Position-Weight Matrix(PWM) and Dyed method; (3) Designing and implementation of data analysis based on the software in Windows 2000 and UNIX using object-oriented technology. The results of analysis of the major histocompatibility complex gene family show that this procedure may accurately locate the regions that contain some of the CRMs.
Bisheng He
2014-01-01
Full Text Available A time-space network based optimization method is designed for high-speed rail train timetabling problem to improve the service level of the high-speed rail. The general time-space path cost is presented which considers both the train travel time and the high-speed rail operation requirements: (1 service frequency requirement; (2 stopping plan adjustment; and (3 priority of train types. Train timetabling problem based on time-space path aims to minimize the total general time-space path cost of all trains. An improved branch-and-price algorithm is applied to solve the large scale integer programming problem. When dealing with the algorithm, a rapid branching and node selection for branch-and-price tree and a heuristic train time-space path generation for column generation are adopted to speed up the algorithm computation time. The computational results of a set of experiments on China’s high-speed rail system are presented with the discussions about the model validation, the effectiveness of the general time-space path cost, and the improved branch-and-price algorithm.
Rent pricing decision support mathematical model for finance leases under effective risks
Rabbani Masoud
2015-01-01
Full Text Available Nowadays, leasing has become an increasingly important and popular method for equipment acquisition. But, because of the rent pricing difficulties and some risks that affect the lessor and lessee's decision making, there are many people that still tend to buy equipment instead of lease it. In this paper we explore how risk can affect the leasing issue support mathematical model. For this purpose, we consider three types of risk; Credit risk, Transaction risk and Risk based pricing. In particular, our focus was on how to make decision about rent pricing in a leasing problem with different customers, various quality levels and different pricing methods. Finally, the mathematical model has been solved by Genetic Algorithm that is a search heuristic to optimize the problem. This algorithm was coded in MATLAB® R2012a to provide the best set of results.
Boosting the accuracy of hedonic pricing models
M.C. van Wezel (Michiel); M. Kagie (Martijn); R. Potharst (Rob)
2005-01-01
textabstractHedonic pricing models attempt to model a relationship between object attributes and the object's price. Traditional hedonic pricing models are often parametric models that suffer from misspecification. In this paper we create these models by means of boosted CART models. The method is
Optimisation of power transmission systems using a discrete Tabu Search method
Connor, Andy M.; Tilley, Derek G.
2016-01-01
This paper presents a brief description of the Tabu Search method and shows how it can be applied to two different power transmission systems. Examples are presented from two transmission systems. In the first example a mechanical transmission system is considered. A four bar mechanism is synthesised in order to produce a desired output motion. The second example is a hydrostatic transmission operating under closed loop control in order to maintain a constant operating speed as the loading co...
A cross-correlation method to search for gravitational wave bursts with AURIGA and Virgo
Bignotto, M; Cerdonio, M; Conti, L; Drago, M; Liguori, N [Dipartimento di Fisica, Universita di Padova, Via Marzolo 8, 35131 Padova (Italy); Bonaldi, M; Falferi, P; Vinante, A [Istituto di Fotonica e Nanotecnologie, CNR-Fondazione Bruno Kessler, I-38050 Povo (Trento) (Italy); Camarda, M [Dipartimento di Ingegneria Informatica, Universita di Padova, Via G. Gradenigo 6a, 35131 Padova (Italy); Longo, S; Ortolan, A [INFN, Laboratori Nazionali di Legnaro, 35020 Legnaro, Padova (Italy); Mezzena, R; Mion, A; Prodi, G A; Re, V; Salemi, F; Vitale, S [INFN, Gruppo Collegato di Trento, Sezione di Padova, I-38050 Povo, Trento (Italy); Taffarello, L; Vedovato, G; Zendri, J P [INFN, Sezione di Padova, Via Marzolo 8, 35131 Padova (Italy)], E-mail: virginia.re@lnl.infn.it (and others)
2008-06-07
We present a method to search for transient gravitational waves using a network of detectors with different spectral and directional sensitivities: the interferometer Virgo and the bar detector AURIGA. The data analysis method is based on the measurements of the correlated energy in the network by means of a weighted cross-correlation. To limit the computational load, this coherent analysis step is performed around time-frequency coincident triggers selected by an excess power event trigger generator tuned at low thresholds. The final selection of gravitational wave candidates is performed by a combined cut on the correlated energy and on the significance as measured by the event trigger generator. The method has been tested on one day of data of AURIGA and Virgo during September 2005. The outcomes are compared to the results of a stand-alone time-frequency coincidence search. We discuss the advantages and the limits of this approach, in view of a possible future joint search between AURIGA and one interferometric detector.
A Cross-correlation method to search for gravitational wave bursts with AURIGA and Virgo
Bignotto, M; Camarda, M; Cerdonio, M; Conti, L; Drago, M; Falferi, P; Liguori, N; Longo, S; Mezzena, R; Mion, A; Ortolan, A; Prodi, G A; Re, V; Salemi, F; Taffarello, L; Vedovato, G; Vinante, A; Vitale, S; Zendri, J P; Acernese, F; Alshourbagy, M; Amico, P; Antonucci, F; Aoudia, S; Astone, P; Avino, S; Baggio, L; Ballardin, G; Barone, F; Barsotti, L; Barsuglia, M; Bauer, T S; Bigotta, S; Birindelli, S; Boccara, C; Bondu, F; Bosi, L; Braccini, S; Bradaschia, C; Brillet, A; Brisson, V; Buskulic, D; Cagnoli, G; Calloni, E; Campagna, E; Carbognani, F; Cavalier, F; Cavalieri, R; Cella, G; Cesarini, E; Chassande-Mottin, E; Clapson, A C; Cleva, F; Coccia, E; Corda, C; Corsi, A; Cottone, F; Coulon, J P; Cuoco, E; D'Antonio, S; Dari, A; Dattilo, V; Davier, M; De Rosa, R; Del Prete, M; Di Fiore, L; Di Lieto, A; Di Paolo Emilio, M; Di Virgilio, A; Evans, M; Fafone, V; Ferrante, I; Fidecaro, F; Fiori, I; Flaminio, R; Fournier, J D; Frasca, S; Frasconi, F; Gammaitoni, L; Garufi, F; Genin, E; Gennai, A; Giazotto, A; Giordano, L; Granata, V; Greverie, C; Grosjean, D; Guidi, G; Hamdani, S; Hebri, S; Heitmann, H; Hello, P; Huet, D; Kreckelbergh, S; La Penna, P; Laval, M
2008-01-01
We present a method to search for transient GWs using a network of detectors with different spectral and directional sensitivities: the interferometer Virgo and the bar detector AURIGA. The data analysis method is based on the measurements of the correlated energy in the network by means of a weighted cross-correlation. To limit the computational load, this coherent analysis step is performed around time-frequency coincident triggers selected by an excess power event trigger generator tuned at low thresholds. The final selection of GW candidates is performed by a combined cut on the correlated energy and on the significance as measured by the event trigger generator. The method has been tested on one day of data of AURIGA and Virgo during September 2005. The outcomes are compared to the results of a stand-alone time-frequency coincidence search. We discuss the advantages and the limits of this approach, in view of a possible future joint search between AURIGA and one interferometric detector.
Optimal Price Regulation for Natural and Legal Monopolies
Ingo Vogelsang
1999-01-01
Optimal price regulation for natural and legal monopolies is an impossible task. The still difficult .task of good price regulation can be systematized by considering separately price level and price structure of the regulated firm. Various methods of price level and price structure regulation are evaluated and then considered for the regulation of electricity transmission, both in the context of an independent transmission company and of vertical integration between transmission and most of ...
An electricity price model with consideration to load and gas price effects
黄民翔; 陶小虎; 韩祯祥
2003-01-01
Some characteristics of the electricity load and prices are studied, and the relationship between electricity prices and gas (fnel) prices is analyzed in this paper. Because electricity prices are strongly depen-dent on load and gas prices, the authors constructed a model for electricity prices based on the effects of these two factors; and used the Geometric Mean Reversion Brownian Motion (GMRBM) model to describe the electricity load process, and a Geometric Brownian Motion(GBM) model to describe the gas prices ; deduced the price stochastic process model based on the above load model and gas price model. This paper also presents methods for parameters estimation, and proposes some methods to solve the model.
Maryam Asadi
2015-12-01
Full Text Available Using mixed methods research design, the current study has analyzed Iranian researchers’ information searching behaviour on the Web.Then based on extracted concepts, the model of their information searching behavior was revealed. . Forty-four participants, including academic staff from universities and research centers were recruited for this study selected by purposive sampling. Data were gathered from questionnairs including ten questions and semi-structured interview. Each participant’s memos were analyzed using grounded theory methods adapted from Strauss & Corbin (1998. Results showed that the main objectives of subjects were doing a research, writing a paper, studying, doing assignments, downloading files and acquiring public information in using Web. The most important of learning about how to search and retrieve information were trial and error and get help from friends among the subjects. Information resources are identified by searching in information resources (e.g. search engines, references in papers, and search in Online database… communications facilities & tools (e.g. contact with colleagues, seminars & workshops, social networking..., and information services (e.g. RSS, Alerting, and SDI. Also, Findings indicated that searching by search engines, reviewing references, searching in online databases, and contact with colleagues and studying last issue of the electronic journals were the most important for searching. The most important strategies were using search engines and scientific tools such as Google Scholar. In addition, utilizing from simple (Quick search method was the most common among subjects. Using of topic, keywords, title of paper were most important of elements for retrieval information. Analysis of interview showed that there were nine stages in researchers’ information searching behaviour: topic selection, initiating search, formulating search query, information retrieval, access to information
A NEW SYSTEM DYNAMIC EXTREMUM SELF-SEARCHING METHOD BASED ON CORRELATION ANALYSIS
李嘉; 刘文江; 胡军; 袁廷奇
2003-01-01
Objective To propose a new dynamic extremum self-searching method, which can be used in industrial processes extremum optimum control systems, to overcome the disadvantages of traditional method. Methods This algorithm is based on correlation analysis. A pseudo-random binary signal m-sequence u(t) is added as probe signal in system input, construct cross-correlation function between system input and output, the next step hunting direction is judged by the differential sign. Results Compared with traditional algorithm such as step forward hunting method, the iterative efficient, hunting precision and anti-interference ability of the correlation analysis method is obvious over the traditional algorithm. The computer simulation experimental given illustrate these viewpoints. Conclusion The correlation analysis method can settle the optimum state point of device operating process. It has the advantage of easy condition , simple calculate process.
Neighbourhood search feature selection method for content-based mammogram retrieval.
Chandy, D Abraham; Christinal, A Hepzibah; Theodore, Alwyn John; Selvan, S Easter
2017-03-01
Content-based image retrieval plays an increasing role in the clinical process for supporting diagnosis. This paper proposes a neighbourhood search method to select the near-optimal feature subsets for the retrieval of mammograms from the Mammographic Image Analysis Society (MIAS) database. The features based on grey level cooccurrence matrix, Daubechies-4 wavelet, Gabor, Cohen-Daubechies-Feauveau 9/7 wavelet and Zernike moments are extracted from mammograms available in the MIAS database to form the combined or fused feature set for testing various feature selection methods. The performance of feature selection methods is evaluated using precision, storage requirement and retrieval time measures. Using the proposed method, a significant improvement is achieved in mean precision rate and feature dimension. The results show that the proposed method outperforms the state-of-the-art feature selection methods.
Young people's knowledge of alcohol prices in a retail context
Jensen, Birger Boutrup; Gadensgaard, Birgitte; Godt, Diana
Several European governments consider an increase in taxation of alcoholic beverages to confront increased alcohol intake by young people. However, little is known as to young people’s knowledge of alcohol prices and thus whether they will notice such price increases. In the present study, young...... people’s price knowledge of alcoholic beverages is examined by a price recall and a deal spotting test. The results indicate that the vast majority of young people hold fairly accurate reference prices, while a rather large segment of young people appears to actively search for prices of alcohol in store...
Hariri, Nadjla; Ravandi, Somayyeh Nadi
2014-01-01
Medline is one of the most important databases in the biomedical field. One of the most important hosts for Medline is Elton B. Stephens CO. (EBSCO), which has presented different search methods that can be used based on the needs of the users. Visual search and MeSH-controlled search methods are among the most common methods. The goal of this research was to compare the precision of the retrieved sources in the EBSCO Medline base using MeSH-controlled and visual search methods. This research was a semi-empirical study. By holding training workshops, 70 students of higher education in different educational departments of Kashan University of Medical Sciences were taught MeSH-Controlled and visual search methods in 2012. Then, the precision of 300 searches made by these students was calculated based on Best Precision, Useful Precision, and Objective Precision formulas and analyzed in SPSS software using the independent sample T Test, and three precisions obtained with the three precision formulas were studied for the two search methods. The mean precision of the visual method was greater than that of the MeSH-Controlled search for all three types of precision, i.e. Best Precision, Useful Precision, and Objective Precision, and their mean precisions were significantly different (P EBSCO Medline host than to use the controlled method, which requires users to use special keywords. The potential reason for their preference was that the visual method allowed them more freedom of action.
On methods for correcting for the look-elsewhere effect in searches for new physics
Algeri, S.; van Dyk, D. A.; Conrad, J.; Anderson, B.
2016-12-01
The search for new significant peaks over a energy spectrum often involves a statistical multiple hypothesis testing problem. Separate tests of hypothesis are conducted at different locations over a fine grid producing an ensemble of local p-values, the smallest of which is reported as evidence for the new resonance. Unfortunately, controlling the false detection rate (type I error rate) of such procedures may lead to excessively stringent acceptance criteria. In the recent physics literature, two promising statistical tools have been proposed to overcome these limitations. In 2005, a method to ``find needles in haystacks'' was introduced by Pilla et al. [1], and a second method was later proposed by Gross and Vitells [2] in the context of the ``look-elsewhere effect'' and trial factors. We show that, although the two methods exhibit similar performance for large sample sizes, for relatively small sample sizes, the method of Pilla et al. leads to an artificial inflation of statistical power that stems from an increase in the false detection rate. This method, on the other hand, becomes particularly useful in multidimensional searches, where the Monte Carlo simulations required by Gross and Vitells are often unfeasible. We apply the methods to realistic simulations of the Fermi Large Area Telescope data, in particular the search for dark matter annihilation lines. Further, we discuss the counter-intuitive scenario where the look-elsewhere corrections are more conservative than much more computationally efficient corrections for multiple hypothesis testing. Finally, we provide general guidelines for navigating the tradeoffs between statistical and computational efficiency when selecting a statistical procedure for signal detection.
Amador Carrascal, Carolina; Chen, Shigao; Manduca, Armando; Greenleaf, James F; Urban, Matthew
2017-01-11
Quantitative ultrasound elastography is increasingly being used in the assessment of chronic liver disease. Many studies have reported ranges of liver shear wave velocities values for healthy individuals and patients with different stages of liver fibrosis. Nonetheless, ongoing efforts exist to stabilize quantitative ultrasound elastography measurements by assessing factors that influence tissue shear wave velocity values, such as food intake, body mass index (BMI), ultrasound scanners, scanning protocols, ultrasound image quality, etc. Time-to-peak (TTP) methods have been routinely used to measure the shear wave velocity. However, there is still a need for methods that can provide robust shear wave velocity estimation in the presence of noisy motion data. The conventional TTP algorithm is limited to searching for the maximum motion in time profiles at different spatial locations. In this study, two modified shear wave speed estimation algorithms are proposed. The first method searches for the maximum motion in both space and time (spatiotemporal peak, STP); the second method applies an amplitude filter (spatiotemporal thresholding, STTH) to select points with motion amplitude higher than a threshold for shear wave group velocity estimation. The two proposed methods (STP and STTH) showed higher precision in shear wave velocity estimates compared to TTP in phantom. Moreover, in a cohort of 14 healthy subjects STP and STTH methods improved both the shear wave velocity measurement precision and the.
Go3R - semantic Internet search engine for alternative methods to animal testing.
Sauer, Ursula G; Wächter, Thomas; Grune, Barbara; Doms, Andreas; Alvers, Michael R; Spielmann, Horst; Schroeder, Michael
2009-01-01
Consideration and incorporation of all available scientific information is an important part of the planning of any scientific project. As regards research with sentient animals, EU Directive 86/609/EEC for the protection of laboratory animals requires scientists to consider whether any planned animal experiment can be substituted by other scientifically satisfactory methods not entailing the use of animals or entailing less animals or less animal suffering, before performing the experiment. Thus, collection of relevant information is indispensable in order to meet this legal obligation. However, no standard procedures or services exist to provide convenient access to the information required to reliably determine whether it is possible to replace, reduce or refine a planned animal experiment in accordance with the 3Rs principle. The search engine Go3R, which is available free of charge under http://Go3R.org, runs up to become such a standard service. Go3R is the world-wide first search engine on alternative methods building on new semantic technologies that use an expert-knowledge based ontology to identify relevant documents. Due to Go3R's concept and design, the search engine can be used without lengthy instructions. It enables all those involved in the planning, authorisation and performance of animal experiments to determine the availability of non-animal methodologies in a fast, comprehensive and transparent manner. Thereby, Go3R strives to significantly contribute to the avoidance and replacement of animal experiments.
Optimization of Wind Farm Layout: A Refinement Method by Random Search
Yang, Jianchuan; Feng, Ju; Shen, Wen Zhong
2013-01-01
turbines can be placed, hence, simplifying the problem from with continuous variables to with discrete variables. In this paper, a refinement method, based on continuous formulation, by using random search is proposed to improve the optimization results based on discrete formulations. Two sets...... of optimization results of a widely studied test case are refined using the proposed method. One set of the results is from a published work using GA based on discrete formulation, the other set is the improved results using authors’ own GA code. Steady improvements are obtained for both sets of results....
CHIM-geoelectrochemical method in search of concealed mineralisation in China and Australia
LUO Xianrong; HOU Baohong; WEN Meilanna; ZENG Nanshi; John Keeling; Roger Fidler; Adrian Fabris
2008-01-01
A version of the geoelectrochemical prospecting technique developed in China was demonstrated in Chi-na and Australia to test its suitability under both Chinese and Australian conditions. This paper briefly describes the mechanism and effectiveness of the technique applied to search of concealed mineralisation through regolith cover, based on both experimental and field tests. This paer deals with three main aspects of the method: a) how metallic ions are released from orebodies by electrochemical dissolution; b) how these ions migrate to the collector and are deposited as elements by electrochemical extraction in the presence of an electric field; and c) the effectiveness of the method illustrated by some case studies.
Dimitrakakis, Christos
2009-01-01
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most problems of interest, the optimal solution involves planning in an infinitely large tree. However, it is possible to obtain stochastic lower and upper bounds on the value of each tree node. This enables us to use stochastic branch and bound algorithms to search the tree efficiently. This paper proposes two such algorithms and examines their complexity in this setting.
A Countrywide House Price Index for 152 Years
Lunde, Jens; Helding Madsen, Anders; Lundbæk Laursen, Maria
for creating the house price index arose, especially in converting the previous registered house prices in the statistics into current market prices. In real terms, the average sale price index increased more than the SPAR index for the years where the two indices were compared, and the difference express...... in house prices is depicted. The Danish house price index covering all the 152 years is in reality a simple average sale price index for houses. From 1920 on it was possible to construct another and a “pure” house price index, based on the Sales Price Appraisal Ratio (SPAR) method. Several challenges...... the qualitative improvement of the sold house through the years. The SPAR index contains long house price cycles, and the unique recent bubble is observed. The development in real prices holds no arguments for the SPAR index will increase in the long run. Already published long house price indices exist...
Exploration of Implementation Methods of Drug Price Reform in China%我国药品价格改革实施途径探讨
吴渝
2015-01-01
目的：探讨我国药品价格改革的实施途径。方法：分析我国药品价格形成机制的现状及存在的弊端，对实施药品价格改革面临的问题进行归纳与总结，并提出药品价格改革的实施途径。结果与结论：我国药品价格形成机制的现状及存在的弊端主要体现在最高零售价政策失灵，导致部分药品价格“虚高”；政府主导药品集中采购，导致部分药品价格“虚低”；药品加成率管制存在漏洞，导致医院采购高价药；政府对药品价格过度干预，影响了医药行业的公平竞争与健康发展。而实施药品价格改革面临药品流通体制不健全，缺乏公平竞争的现代药品交易市场；医保部门权利过分集中，缺乏公众参与和社会监督；“以药养医”导致医疗行为扭曲等问题。建议通过实施以下措施予以解决：改革药品流通体制，培育现代化的药品交易市场；建立以医保机构为主导的多方利益主体参与的药品价格协商谈判机制；发展零售药店，逐步替代医院的门诊药房，促使“医药分家”等。%OBJECTIVE:To explore the implementation methods of drug price reform in China. METHODS:Current condi-tion and disadvantages of drug price mechanism in China were analyzed,the problems of the implementation of drug price reform were concluded and summarized,and the implementation methods of drug price reform were put forward. RESULTS & CONCLU-SIONS:Current condition and disadvantages of drug price mechanism in China are mainly reflected as failure of policy for maxi-mum retail price causes part of drugs to be overpriced;government-led centralized procurement of drugs results in that part of drugs are underpriced;the defects in the regulation of drug price addition rate leads to hospitals’procurement of drugs at higher price;government’s excessive interference in drug price affects the fair competition and sound development of
(Re)interpreting LHC New Physics Search Results : Tools and Methods, 3rd Workshop
The quest for new physics beyond the SM is arguably the driving topic for LHC Run2. LHC collaborations are pursuing searches for new physics in a vast variety of channels. Although collaborations provide various interpretations for their search results, the full understanding of these results requires a much wider interpretation scope involving all kinds of theoretical models. This is a very active field, with close theory-experiment interaction. In particular, development of dedicated methodologies and tools is crucial for such scale of interpretation. Recently, a Forum was initiated to host discussions among LHC experimentalists and theorists on topics related to the BSM (re)interpretation of LHC data, and especially on the development of relevant interpretation tools and infrastructure: https://twiki.cern.ch/twiki/bin/view/LHCPhysics/InterpretingLHCresults Two meetings were held at CERN, where active discussions and concrete work on (re)interpretation methods and tools took place, with valuable cont...
Study on Hydraulic Engineering Cost Prediction by Unit Price Method%单价法预测水利工程造价的商榷
周峰; 岳春芳
2011-01-01
The infrastructure of water conservancy projects is one of the basic industries for the development of national economy. The hydraulic engineering is characterized by large scale,sophisticated technique, long duration,and big investment,which is a systematic and comprehensive work. The current method of cost prediction for water conservancy projects is the unit price method, which is still following the planned economy system. Although adjusted and improved several times, the unit price method still has many defects and the results are often inconsistent with the fact. The problems of calculating the hydraulic engineering cost in unit price predicting, such as labor budgeting and indirect expenditure, were analyzed and improving suggestions were proposed in this paper.%水利工程基本建设是我国国民经济发展的基础性产业之一,工程规模大,技术复杂,工期较长,投资很大,有很强的系统性和综合性.现行预测水利工程造价的单价法仍然沿用了计划经济体制时代模式,虽然经过了多次调整和改进,但还是存在诸多弊端,计算结果常常与实际偏差较大或与实际不符.现针对单价法预测水利工程造价中人工费、其他直接费、现场经费等计算中存在的问题进行分析,并提出了改进建议.
Compare And Study Standardized Method Of Pricing For Inventory%发出存货计价方法规范化比较研究
孙合珍
2015-01-01
存货是企业一项重要的流动资产,所占的比重较大,是给企业带来经济效益的重要资源.首先对存货的三种计价方法进行分析比较,在此基础上,阐述存货计价方法的依据,并在遵循新存货准则的前提下,从企业实际出发,分别从存货的特点及管理要求、企业纳税、企业经营成果、管理人员业绩评价等角度进行分析,全面考虑,扬长避短,选择适合企业的存货计价方法.%Inventory,an important current assets of corporation,which holds a big part in company,is an prominent source of e-conomic benefits for company.In the first period of this paper,we will analyze and compare three methods of pricing,and then we will see the influence pricing method selecting brings on several aspects of company-the final inventory value;current profit;financial ratio analyzing target,such as ability of Short-Term debt service,ability of gaining profits,Long-Term debt service a-bility,and so on.In the last part,premised on New-Enterprises Accounting Rule,we find the best method of pricing for inven-tory,after thinking of the real situation of corporation from the ways of inventory features,management requirements,tax paying,management achievement,performance appraisal of management staff,etc.
Research on method of the lowest evaluated bid price%经评审的最低投标价法评审研究
可淑玲
2016-01-01
The conditions for the method of the lowest evaluated bid price were analyzed systematically. The review system and content of the lowest evaluated bid price method were expounded on the three aspects including qualification examination, technical bid review and commercial bid review. The definition method of individual cost of enterprise was put forward for further promotion of the reviewing methods.%为推动企业提高管理水平，准确掌握经评审的最低价评标方法，文章系统分析了经评审的最低投标价法评标应满足的条件，并从资格审查、技术标评审、商务标评审三方面系统阐述了经评审的最低投标价法的评价体系、评审内容，提出了企业个别成本的界定方法，为该种评标方法的进一步推广起到了良好的引领作用。
基准地价更新方法及趋势探析%Study on Remedying Methods of Benchmark Land Prices and Development Trend
张磊; 王阳
2016-01-01
城镇基准地价制度是我国在城镇土地市场发育初期所建立的一项土地管理制度，随着土地市场的发育，原有的基准地价更新方法已不能完全满足土地管理的需求，各地都在探索适应当地土地利用管理的新的更新方法。本文通过对各类基准地价更新方法的比较，并借鉴国外的地价制度，对城镇基准地价更新方法的发展趋势作以探讨。%Urban system is China's benchmark land prices in the early development of urban land market by the establishment of a land management system. A-long with the development of the land market, the original method can not fully meet the demand for land management, all localities are exploring adapt to the local land-use management of the new method update. This essay, which bases on comparing various methods and using foreign premium system, try to update on urban land price benchmark trends for the development of methods to explore.
无
2011-01-01
The Chinese Government faces the task of stabilizing vegetable prices to avoid steep increases and dips Fluctuations of vegetable prices in China have recently caused near panic in the domestic market.Purchase prices for farm produce are decreasing dramatically
Cheng, Chia-Ying; Tsai, Chia-Feng; Chen, Yu-Ju; Sung, Ting-Yi; Hsu, Wen-Lian
2013-05-01
As spectral library searching has received increasing attention for peptide identification, constructing good decoy spectra from the target spectra is the key to correctly estimating the false discovery rate in searching against the concatenated target-decoy spectral library. Several methods have been proposed to construct decoy spectral libraries. Most of them construct decoy peptide sequences and then generate theoretical spectra accordingly. In this paper, we propose a method, called precursor-swap, which directly constructs decoy spectral libraries directly at the "spectrum level" without generating decoy peptide sequences by swapping the precursors of two spectra selected according to a very simple rule. Our spectrum-based method does not require additional efforts to deal with ion types (e.g., a, b or c ions), fragment mechanism (e.g., CID, or ETD), or unannotated peaks, but preserves many spectral properties. The precursor-swap method is evaluated on different spectral libraries and the results of obtained decoy ratios show that it is comparable to other methods. Notably, it is efficient in time and memory usage for constructing decoy libraries. A software tool called Precursor-Swap-Decoy-Generation (PSDG) is publicly available for download at http://ms.iis.sinica.edu.tw/PSDG/.
Erik Cuevas
2015-01-01
Full Text Available In this paper, a new method for robustly estimating multiple view relations from point correspondences is presented. The approach combines the popular random sampling consensus (RANSAC algorithm and the evolutionary method harmony search (HS. With this combination, the proposed method adopts a different sampling strategy than RANSAC to generate putative solutions. Under the new mechanism, at each iteration, new candidate solutions are built taking into account the quality of the models generated by previous candidate solutions, rather than purely random as it is the case of RANSAC. The rules for the generation of candidate solutions (samples are motivated by the improvisation process that occurs when a musician searches for a better state of harmony. As a result, the proposed approach can substantially reduce the number of iterations still preserving the robust capabilities of RANSAC. The method is generic and its use is illustrated by the estimation of homographies, considering synthetic and real images. Additionally, in order to demonstrate the performance of the proposed approach within a real engineering application, it is employed to solve the problem of position estimation in a humanoid robot. Experimental results validate the efficiency of the proposed method in terms of accuracy, speed, and robustness.
Sliding surface searching method for slopes containing a potential weak structural surface
Aijun Yao
2014-06-01
Full Text Available Weak structural surface is one of the key factors controlling the stability of slopes. The stability of rock slopes is in general concerned with set of discontinuities. However, in soft rocks, failure can occur along surfaces approaching to a circular failure surface. To better understand the position of potential sliding surface, a new method called simplex-finite stochastic tracking method is proposed. This method basically divides sliding surface into two parts: one is described by smooth curve obtained by random searching, the other one is polyline formed by the weak structural surface. Single or multiple sliding surfaces can be considered, and consequently several types of combined sliding surfaces can be simulated. The paper will adopt the arc-polyline to simulate potential sliding surface and analyze the searching process of sliding surface. Accordingly, software for slope stability analysis using this method was developed and applied in real cases. The results show that, using simplex-finite stochastic tracking method, it is possible to locate the position of a potential sliding surface in the slope.
Sliding surface searching method for slopes containing a potential weak structural surface
Aijun Yao; Zhizhou Tian; Yongjun Jin
2014-01-01
Weak structural surface is one of the key factors controlling the stability of slopes. The stability of rock slopes is in general concerned with set of discontinuities. However, in soft rocks, failure can occur along surfaces approaching to a circular failure surface. To better understand the position of potential sliding surface, a new method called simplex-finite stochastic tracking method is proposed. This method basically divides sliding surface into two parts: one is described by smooth curve obtained by random searching, the other one is polyline formed by the weak structural surface. Single or multiple sliding surfaces can be considered, and consequently several types of combined sliding surfaces can be simu-lated. The paper will adopt the arc-polyline to simulate potential sliding surface and analyze the searching process of sliding surface. Accordingly, software for slope stability analysis using this method was developed and applied in real cases. The results show that, using simplex-finite stochastic tracking method, it is possible to locate the position of a potential sliding surface in the slope.
Vertical price transmission in the Finnish food sector
Toikkanen, Heini; Niemi, Jyrki
2014-01-01
In this study we estimated vertical price transmission in the Finnish food sector by using the Engle-Granger two-staged co-integration method. The results indicate that the producer price of beef and the consumer price of beef roast are co-integrated and that price transmission is quite effective. Liquid milk does not significantly differ from raw milk. However, the consumer price of liquid milk and the producer price of milk do not follow each other. The producer price and consumer prices of...
Identifying of risks in pricing using a regression model of demand on price dependence
O.I. Yashkina
2016-09-01
risk of increasing or lowering prices. For each of the reference regression models of dependence of demand on price when using the research methods of the extremum optimal prices were obtained, through which businesses can count on the maximum price. Conclusions and direction of further researches. The results of the study provide the approach based on the existence of a regression of price elasticity of demand for the price of high-tech products which can be used as a tool for the assessment and prevention of risks in the pricing at all stages of the product life cycle. Methods of assessing risks of pricing and profit optimization for the regression demand on price allows companies with different pricing strategies, such as the strategy of «skimming» or a strategy to capture the market to assess the risks of pricing and optimal price at which it will receive the maximum profit. In order to confirm the findings of Methods of assessing risks of pricing and profit optimization for the regression of demand on price approbation of the theoretical results to actual data is required. The main task of approbation should be consider as getting the functions of price elasticity of demand, evaluating pricing risks and determining the optimal selling prices for different groups of new high-tech products.
Al-Dawsari, Monther Abdullah
2013-06-04
A method of dynamic pricing of a resource is presented. For example, the method includes determining a set of anticipated demands for one or more users to acquire the resource according to uncertainty of the one or more users in preferring one or more certain time periods of a plurality of time periods for acquiring the resource. Prices for the resource differ between at least two of the plurality of time periods. Each anticipated demand of the set is associated with a different one of the plurality of time periods. The method further includes setting prices for the resource during each of the plurality of time periods according to the determined set of anticipated demands. The determining of the set of anticipated demands and/or the setting of prices are implemented as instruction code executed on a processor device.
7 CFR 1000.50 - Class prices, component prices, and advanced pricing factors.
2010-01-01
... 7 Agriculture 9 2010-01-01 2009-01-01 true Class prices, component prices, and advanced pricing... advanced pricing factors. Class prices per hundredweight of milk containing 3.5 percent butterfat, component prices, and advanced pricing factors shall be as follows. The prices and pricing factors...
Belousov S. V.
2015-05-01
Full Text Available In the article there was considered the question of patent search of mechanization means for main soil treatment with layer’s circulation, machinery for its execution, there were revealed the problems existing in present technological operation. There were determined the ways of their realization and decision. There were described two possible variants of patent search arrangement with the application of two search systems of FIIP and FSSPS. There were indicated the closest in construction and type patents which decide the problem of main soil treatment, there were determined the ways influencing on improvement of process of main soil treatment with layer’s circulation, was determined the construction for its further study. The present article has an applied character and directs to the tendency of improvement of arable aggregate constructions to improve the qualitative indexes of work. We offered and presented the constructions of share plow and its frame for mouldboard soil treatment. It is possible to make the following conclusions: market of agricultural technology overfills with produce for soil treatment with layer’s circulation and not always can be done the proper choice of mechanization means, it is necessary to know that in the result of use of combined machines the productivity of agricultural techniques increases. In the result of patent analysis there was revealed the perspective trend in the sphere of soil treatment with layer’s circulation with decrease of traction resistance
Kaiser, Ulrich; Mendez, Susan J.; Rønde, Thomas
2015-01-01
Reference price systems for prescription drugs have found widespread use as cost containment tools. Under such regulatory regimes, patients co-pay a fraction of the difference between pharmacy retail price of the drug and a reference price. Reference prices are either externally (based on drug...... prices in other countries) or internally (based on domestic drug prices) determined. In a recent study, we analysed the effects of a change from external to internal reference pricing in Denmark in 2005, finding that the reform led to substantial reductions in prices, producer revenues, and expenditures...
Huck, Steffen; Ruchala, Gabriele K.; Tyran, Jean-Robert
We experimentally examine the effects of flexible and fixed prices in markets for experience goods in which demand is driven by trust. With flexible prices, we observe low prices and high quality in competitive (oligopolistic) markets, and high prices coupled with low quality in non-competitive...... (monopolistic) markets. We then introduce a regulated intermediate price above the oligopoly price and below the monopoly price. The effect in monopolies is more or less in line with standard intuition. As price falls volume increases and so does quality, such that overall efficiency is raised by 50%. However...
Cuckoo search epistasis: a new method for exploring significant genetic interactions.
Aflakparast, M; Salimi, H; Gerami, A; Dubé, M-P; Visweswaran, S; Masoudi-Nejad, A
2014-06-01
The advent of high-throughput sequencing technology has resulted in the ability to measure millions of single-nucleotide polymorphisms (SNPs) from thousands of individuals. Although these high-dimensional data have paved the way for better understanding of the genetic architecture of common diseases, they have also given rise to challenges in developing computational methods for learning epistatic relationships among genetic markers. We propose a new method, named cuckoo search epistasis (CSE) for identifying significant epistatic interactions in population-based association studies with a case-control design. This method combines a computationally efficient Bayesian scoring function with an evolutionary-based heuristic search algorithm, and can be efficiently applied to high-dimensional genome-wide SNP data. The experimental results from synthetic data sets show that CSE outperforms existing methods including multifactorial dimensionality reduction and Bayesian epistasis association mapping. In addition, on a real genome-wide data set related to Alzheimer's disease, CSE identified SNPs that are consistent with previously reported results, and show the utility of CSE for application to genome-wide data.
Hybridization of Adaptive Differential Evolution with an Expensive Local Search Method
Rashida Adeeb Khanum
2016-01-01
Full Text Available Differential evolution (DE is an effective and efficient heuristic for global optimization problems. However, it faces difficulty in exploiting the local region around the approximate solution. To handle this issue, local search (LS techniques could be hybridized with DE to improve its local search capability. In this work, we hybridize an updated version of DE, adaptive differential evolution with optional external archive (JADE with an expensive LS method, Broydon-Fletcher-Goldfarb-Shano (BFGS for solving continuous unconstrained global optimization problems. The new hybrid algorithm is denoted by DEELS. To validate the performance of DEELS, we carried out extensive experiments on well known test problems suits, CEC2005 and CEC2010. The experimental results, in terms of function error values, success rate, and some other statistics, are compared with some of the state-of-the-art algorithms, self-adaptive control parameters in differential evolution (jDE, sequential DE enhanced by neighborhood search for large-scale global optimization (SDENS, and differential ant-stigmergy algorithm (DASA. These comparisons reveal that DEELS outperforms jDE and SDENS except DASA on the majority of test instances.
An Exploration of Retrieval-Enhancing Methods for Integrated Search in a Digital Library
Sørensen, Diana Ransgaard; Bogers, Toine; Larsen, Birger
2012-01-01
different types of documents (bibliographic records for articles and books as well as full-text articles) using the iSearch collection: combining all document types in a single index, weighting the different document types using priors, and using collection fusion techniques to merge the retrieval results...... on three separate indexes corresponding to each of the document types. We find that a properly optimized retrieval model on a single combined index containing all documents without any special treatment performs no worse than our weighting and fusion methods, suggesting that more work is needed...
Yukai Yao
2015-01-01
Full Text Available We propose an optimized Support Vector Machine classifier, named PMSVM, in which System Normalization, PCA, and Multilevel Grid Search methods are comprehensively considered for data preprocessing and parameters optimization, respectively. The main goals of this study are to improve the classification efficiency and accuracy of SVM. Sensitivity, Specificity, Precision, and ROC curve, and so forth, are adopted to appraise the performances of PMSVM. Experimental results show that PMSVM has relatively better accuracy and remarkable higher efficiency compared with traditional SVM algorithms.
MCHITS: Monte Carlo based Method for Hyperlink Induced Topic Search on Networks
Zhaoyan Jin
2013-10-01
Full Text Available Hyperlink Induced Topic Search (HITS is the most authoritative and most widely used personalized ranking algorithm on networks. The HITS algorithm ranks nodes on networks according to power iteration, and has high complexity of computation. This paper models the HITS algorithm with the Monte Carlo method, and proposes Monte Carlo based algorithms for the HITS computation. Theoretical analysis and experiments show that the Monte Carlo based approximate computing of the HITS ranking reduces computing resources a lot while keeping higher accuracy, and is significantly better than related works
Yamana, Takashi; Iima, Hitoshi; Sannomiya, Nobuo
Although there have been many studies on parallel machine scheduling problems, the number of machines operated is fixed in these studies. It is desirable to generate a schedule with fewer machines operated from the viewpoint of the operation cost of machines. In this paper, we cope with a problem of minimizing the number of parallel machines subject to the constraint that the total tardiness is not greater than the value given in advance. For this problem, we introduce a local search method in which the number of machines operated is changed efficiently and appropriately in a short time as well as reducing the total tardiness.
Searching-and-averaging method of underdetermined blind speech signal separation in time domain
无
2007-01-01
Underdetermined blind signal separation (BSS) (with fewer observed mixtures than sources) is discussed. A novel searching-and-averaging method in time domain (SAMTD) is proposed. It can solve a kind of problems that are very hard to solve by using sparse representation in frequency domain. Bypassing the disadvantages of traditional clustering (e.g., K-means or potential-function clustering), the durative- sparsity of a speech signal in time domain is used. To recover the mixing matrix, our method deletes those samples, which are not in the same or inverse direction of the basis vectors. To recover the sources, an improved geometric approach to overcomplete ICA (Independent Component Analysis) is presented. Several speech signal experiments demonstrate the good performance of the proposed method.
An R-peak detection method that uses an SVD filter and a search back system.
Jung, Woo-Hyuk; Lee, Sang-Goog
2012-12-01
In this paper, we present a method for detecting the R-peak of an ECG signal by using an singular value decomposition (SVD) filter and a search back system. The ECG signal was detected in two phases: the pre-processing phase and the decision phase. The pre-processing phase consisted of the stages for the SVD filter, Butterworth High Pass Filter (HPF), moving average (MA), and squaring, whereas the decision phase consisted of a single stage that detected the R-peak. In the pre-processing phase, the SVD filter removed noise while the Butterworth HPF eliminated baseline wander. The MA removed the remaining noise of the signal that had gone through the SVD filter to make the signal smooth, and squaring played a role in strengthening the signal. In the decision phase, the threshold was used to set the interval before detecting the R-peak. When the latest R-R interval (RRI), suggested by Hamilton et al., was greater than 150% of the previous RRI, the method of detecting the R-peak in such an interval was modified to be 150% or greater than the smallest interval of the two most latest RRIs. When the modified search back system was used, the error rate of the peak detection decreased to 0.29%, compared to 1.34% when the modified search back system was not used. Consequently, the sensitivity was 99.47%, the positive predictivity was 99.47%, and the detection error was 1.05%. Furthermore, the quality of the signal in data with a substantial amount of noise was improved, and thus, the R-peak was detected effectively. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Jäkel, Ina Charlotte; Sørensen, Allan
-cut prediction on the sign of the exporter price premium. However, the model unambiguously predicts a negative exporter price premium in terms of quality-adjusted prices, i.e. prices per unit of quality. This prediction is broadly borne out in the Danish data: while the magnitude of the premium varies across...
Huck, Steffen; Ruchala, Gabriele K.; Tyran, Jean-Robert
We experimentally examine the effects of flexible and fixed prices in markets for experience goods in which demand is driven by trust. With flexible prices, we observe low prices and high quality in competitive (oligopolistic) markets, and high prices coupled with low quality in non...
He, Lirong; Cui, Guangmang; Feng, Huajun; Xu, Zhihai; Li, Qi; Chen, Yueting
2015-03-01
Coded exposure photography makes the motion de-blurring a well-posed problem. The integration pattern of light is modulated using the method of coded exposure by opening and closing the shutter within the exposure time, changing the traditional shutter frequency spectrum into a wider frequency band in order to preserve more image information in frequency domain. The searching method of optimal code is significant for coded exposure. In this paper, an improved criterion of the optimal code searching is proposed by analyzing relationship between code length and the number of ones in the code, considering the noise effect on code selection with the affine noise model. Then the optimal code is obtained utilizing the method of genetic searching algorithm based on the proposed selection criterion. Experimental results show that the time consuming of searching optimal code decreases with the presented method. The restoration image is obtained with better subjective experience and superior objective evaluation values.
Determining Price Reasonableness in Federal ESPCs
Shonder, J.A.
2005-03-08
This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Xiao-Min Hu; Jun Zhang; Yun Li
2008-01-01
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional ant algorithms are designed for combinatorial optimization, they have shown great potential in solving a wide range of optimization problems, including continuous optimization. Aimed at solving continuous problems effectively, this paper develops a novel ant algorithm termed "continuous orthogonal ant colony" (COAC), whose pheromone deposit mechanisms would enable ants to search for solutions collaboratively and effectively. By using the orthogonal design method, ants in the feasible domain can explore their chosen regions rapidly and efficiently. By implementing an "adaptive regional radius" method, the proposed algorithm can reduce the probability of being trapped in local optima and therefore enhance the global search capability and accuracy. An elitist strategy is also employed to reserve the most valuable points. The performance of the COAC is compared with two other ant algorithms for continuous optimization -- API and CACO by testing seventeen functions in the continuous domain. The results demonstrate that the proposed COAC algorithm outperforms the others.
Hooke–Jeeves Method-used Local Search in a Hybrid Global Optimization Algorithm
V. D. Sulimov
2014-01-01
Full Text Available Modern methods for optimization investigation of complex systems are based on development and updating the mathematical models of systems because of solving the appropriate inverse problems. Input data desirable for solution are obtained from the analysis of experimentally defined consecutive characteristics for a system or a process. Causal characteristics are the sought ones to which equation coefficients of mathematical models of object, limit conditions, etc. belong. The optimization approach is one of the main ones to solve the inverse problems. In the main case it is necessary to find a global extremum of not everywhere differentiable criterion function. Global optimization methods are widely used in problems of identification and computation diagnosis system as well as in optimal control, computing to-mography, image restoration, teaching the neuron networks, other intelligence technologies. Increasingly complicated systems of optimization observed during last decades lead to more complicated mathematical models, thereby making solution of appropriate extreme problems significantly more difficult. A great deal of practical applications may have the problem con-ditions, which can restrict modeling. As a consequence, in inverse problems the criterion functions can be not everywhere differentiable and noisy. Available noise means that calculat-ing the derivatives is difficult and unreliable. It results in using the optimization methods without calculating the derivatives.An efficiency of deterministic algorithms of global optimization is significantly restrict-ed by their dependence on the extreme problem dimension. When the number of variables is large they use the stochastic global optimization algorithms. As stochastic algorithms yield too expensive solutions, so this drawback restricts their applications. Developing hybrid algo-rithms that combine a stochastic algorithm for scanning the variable space with deterministic local search
[Searching for WDMS Candidates In SDSS-DR10 With Automatic Method].
Jiang, Bin; Wang, Cheng-you; Wang, Wen-yu; Wang, Wei
2015-05-01
The Sloan Digital Sky Survey (SDSS) has released the latest data (DR10) which covers the first APOGEE spectra. The massive spectra can be used for large sample research inscluding the structure and evolution of the Galaxy and multi-wave-band identi cation. In addition, the spectra are also ideal for searching for rare and special objects like white dwarf main-sequence star (WDMS). WDMS consist of a white dwarf primary and a low-mass main-sequence (MS) companion which has positive significance to the study of evolution and parameter of close binaries. WDMS is generally discovered by repeated imaging of the same area of sky, measuring light curves for objects or through photometric selection with follow-up observations. These methods require significant manual processing time with low accuracy and the real-time processing requirements can not be satisfied. In this paper, an automatic and efficient method for searching for WDMS candidates is presented. The method Genetic Algorithm (GA) is applied in the newly released SDSS-DR10 spectra. A total number of 4 140 WDMS candidates are selected by the method and 24 of them are new discoveries which prove that our approach of finding special celestial bodies in massive spectra data is feasible. In addition, this method is also applicable to mining other special celestial objects in sky survey telescope data. We report the identfication of 24 new WDMS with spectra. A compendium of positions, mjd, plate and fiberid of these new discoveries is presented which enrich the spectral library and will be useful to the research of binary evolution models.
A hybrid solar panel maximum power point search method that uses light and temperature sensors
Ostrowski, Mariusz
2016-04-01
Solar cells have low efficiency and non-linear characteristics. To increase the output power solar cells are connected in more complex structures. Solar panels consist of series of connected solar cells with a few bypass diodes, to avoid negative effects of partial shading conditions. Solar panels are connected to special device named the maximum power point tracker. This device adapt output power from solar panels to load requirements and have also build in a special algorithm to track the maximum power point of solar panels. Bypass diodes may cause appearance of local maxima on power-voltage curve when the panel surface is illuminated irregularly. In this case traditional maximum power point tracking algorithms can find only a local maximum power point. In this article the hybrid maximum power point search algorithm is presented. The main goal of the proposed method is a combination of two algorithms: a method that use temperature sensors to track maximum power point in partial shading conditions and a method that use illumination sensor to track maximum power point in equal illumination conditions. In comparison to another methods, the proposed algorithm uses correlation functions to determinate the relationship between values of illumination and temperature sensors and the corresponding values of current and voltage in maximum power point. In partial shading condition the algorithm calculates local maximum power points bases on the value of temperature and the correlation function and after that measures the value of power on each of calculated point choose those with have biggest value, and on its base run the perturb and observe search algorithm. In case of equal illumination algorithm calculate the maximum power point bases on the illumination value and the correlation function and on its base run the perturb and observe algorithm. In addition, the proposed method uses a special coefficient modification of correlation functions algorithm. This sub
Sun Qingying
2005-01-01
In this paper, a new class of three term memory gradient method with nonmonotone line search technique for unconstrained optimization is presented. Global convergence properties of the new methods are discussed. Combining the quasi-Newton method with the new method, the former is modified to have global convergence property. Numerical results show that the new algorithm is efficient.
窦祥胜; 杨炘
2004-01-01
The managedfloating exchange rate system is one of special manifestations of target zone system,and actually it is a quasi-target zone system. Hence RMB equilibrium exchange rate may be estimated by use of the method of exchange rate target zone model. At present, the sticky-price model is one of best models, and it is a extension of flex-price model. The model is based on assumptions of price inertia and output decided by demand. Under those assumptions and the condition of the commodity and the currency market equilibrium, a stochastic differential equation may be established, and in the light of theequation,we may get a exchange rate function. Our research indicates a good outcome may be made,applying the sticky-price model to estimate RMB equilibrium exchange rate.
LITERATURE SEARCH FOR METHODS FOR HAZARD ANALYSES OF AIR CARRIER OPERATIONS.
MARTINEZ - GURIDI,G.; SAMANTA,P.
2002-07-01
Representatives of the Federal Aviation Administration (FAA) and several air carriers under Title 14 of the Code of Federal Regulations (CFR) Part 121 developed a system-engineering model of the functions of air-carrier operations. Their analyses form the foundation or basic architecture upon which other task areas are based: hazard analyses, performance measures, and risk indicator design. To carry out these other tasks, models may need to be developed using the basic architecture of the Air Carrier Operations System Model (ACOSM). Since ACOSM encompasses various areas of air-carrier operations and can be used to address different task areas with differing but interrelated objectives, the modeling needs are broad. A literature search was conducted to identify and analyze the existing models that may be applicable for pursuing the task areas in ACOSM. The intent of the literature search was not necessarily to identify a specific model that can be directly used, but rather to identify relevant ones that have similarities with the processes and activities defined within ACOSM. Such models may provide useful inputs and insights in structuring ACOSM models. ACOSM simulates processes and activities in air-carrier operation, but, in a general framework, it has similarities with other industries where attention also has been paid to hazard analyses, emphasizing risk management, and in designing risk indicators. To assure that efforts in other industries are adequately considered, the literature search includes publications from other industries, e.g., chemical, nuclear, and process industries. This report discusses the literature search, the relevant methods identified and provides a preliminary assessment of their use in developing the models needed for the ACOSM task areas. A detailed assessment of the models has not been made. Defining those applicable for ACOSM will need further analyses of both the models and tools identified. The report is organized in four chapters
LITERATURE SEARCH FOR METHODS FOR HAZARD ANALYSES OF AIR CARRIER OPERATIONS.
MARTINEZ - GURIDI,G.; SAMANTA,P.
2002-07-01
Representatives of the Federal Aviation Administration (FAA) and several air carriers under Title 14 of the Code of Federal Regulations (CFR) Part 121 developed a system-engineering model of the functions of air-carrier operations. Their analyses form the foundation or basic architecture upon which other task areas are based: hazard analyses, performance measures, and risk indicator design. To carry out these other tasks, models may need to be developed using the basic architecture of the Air Carrier Operations System Model (ACOSM). Since ACOSM encompasses various areas of air-carrier operations and can be used to address different task areas with differing but interrelated objectives, the modeling needs are broad. A literature search was conducted to identify and analyze the existing models that may be applicable for pursuing the task areas in ACOSM. The intent of the literature search was not necessarily to identify a specific model that can be directly used, but rather to identify relevant ones that have similarities with the processes and activities defined within ACOSM. Such models may provide useful inputs and insights in structuring ACOSM models. ACOSM simulates processes and activities in air-carrier operation, but, in a general framework, it has similarities with other industries where attention also has been paid to hazard analyses, emphasizing risk management, and in designing risk indicators. To assure that efforts in other industries are adequately considered, the literature search includes publications from other industries, e.g., chemical, nuclear, and process industries. This report discusses the literature search, the relevant methods identified and provides a preliminary assessment of their use in developing the models needed for the ACOSM task areas. A detailed assessment of the models has not been made. Defining those applicable for ACOSM will need further analyses of both the models and tools identified. The report is organized in four chapters
李惠芳; 包立平
2015-01-01
A stochastic volatility model for a class of electricity Asian option pricing problem is discussed in this paper .The volatility of the model adopts the fast stochastic volatility mean reversion model .By using Feynman-Kac's formula , it turns out the Black-Scholes model in which the risky asserts of electricity Asian option prices .The asymptotic solution to its Black-Scholes equation with the singular perturbation method is obtained .%讨论了一类电力亚式期权定价问题的随机波动率模型，其中随机波动率采用了快速均值回归的随机波动率模型。通过Feynman-Kac公式，得出了风险资产电力亚式期权价格所应满足的Black-Sholes模型，运用奇摄动渐近展开方法，得到了Black-Sholes方程的渐近解。
Francis M HUTABARAT
2016-08-01
Full Text Available The industry in Indonesia is an interesting business to capitalize. In Indonesia many companies were established since it is profitable. The capital market serves as an economic pillar in most countries. Indonesia is a rich country, rich in many ways especially in natural resources. However, the industry has its ups and downs in the stock market. It is interesting to see the performance of the companies listed in the Indonesia Stock Exchange. This study aimed to measure and analyze companies listed in Pefindo25 at Indonesian Stock Exchange using Capital Asset Pricing Model. The sample used is 25 companies listed at Pefindo25 index. Based on the results of the study, it can conclude that after analyzing the companies listed in the Indonesian Stock Exchange using Capital Asset Pricing Model that based on Beta analysis, the companies have the type of stocks that are aggressive and defensive. With positive and negative return. The company with aggressive beta shows that the company tend to face higher risk, as JPFA find itself with positif return 15.47% expected return. And companies with defensive type of stocks tend to have positive return such as: FISH, STTP, AISA, APLN, and others since they are not sensitive to market changes. It is recommended for further research to look on this CAPM method in analyzing the stock investment.
Michael Alles; Srikant Datar
1998-01-01
Most research into cost systems has focused on their motivational implications. This paper takes a different approach, by developing a model where two oligopolistic firms strategically select their cost-based transfer prices. Duopoly models frequently assume that firms game on their choice of prices. Product prices, however, are ultimately based on the firms' transfer prices that communicate manufacturing costs to marketing departments. It is for this reason that transfer prices will have a s...
Krueger, Malte
2009-01-01
The pricing of payments has received increasing attention of regulators. In many cases, regulators are concerned that consumers do not face cost based prices. They argue that without cost based prices consumers will make inefficient choices. In this paper, it is argued that both, economics of scale and the particular laws governing pricing in two-sided markets provide a case against cost based pricing.
Intelligent Iterated Local Search Methods for Solving Vehicle Routing Problem with Different Fleets
无
2007-01-01
To solve vehicle routing problem with different fleets, two methodologies are developed. The first methodology adopts twophase strategy. In the first phase, the improved savings method is used to assign customers to appropriate vehicles. In the second phase, the iterated dynasearch algorithm is adopted to route each selected vehicle with the assigned customers. The iterated dynasearch algorithm combines dynasearch algorithm with iterated local search algorithm based on random kicks. The second methodplogy adopts the idea of cyclic transfer which is performed by using dynamic programming algorithm, and the iterated dynasearch algorithm is also embedded in it. The test results show that both methodologies generate better solutions than the traditional method, and the second methodology is superior to the first one.
Jo, Yu Gwon; Yun, Sung Hwan; Cho, Nam Zin [KAIST, Daejeon (Korea, Republic of)
2011-10-15
Since the Monte Carlo method overcomes limitations in multi-group approximation and geometry description, it is gaining increasing use in reactor physics problems. Recently, a new leakage-corrected method was suggested by the authors, in which the critical spectrum is obtained by albedo-based leakage correction in the Monte Carlo method. In this paper, the critical spectrum based on the albedo-based leakage-corrected method will be compared with the critical spectrum by conventional B1 method (with condensed cross sections) and reference critical whole-core assembly spectrum. These two methods are implemented in our local MCNP5 (version 1.50)
Freyhult, E.; Bollback, J. P.; Gardner, P. P.
2006-01-01
Homology search is one of the most ubiquitous bioinformatic tasks, yet it is unknown how effective the currently available tools are for identifying noncoding RNAs (ncRNAs). In this work, we use reliable ncRNA data sets to assess the effectiveness of methods such as BLAST, FASTA, HMMer, and Infer......Homology search is one of the most ubiquitous bioinformatic tasks, yet it is unknown how effective the currently available tools are for identifying noncoding RNAs (ncRNAs). In this work, we use reliable ncRNA data sets to assess the effectiveness of methods such as BLAST, FASTA, HMMer......, and Infernal. Surprisingly, the most popular homology search methods are often the least accurate. As a result, many studies have used inappropriate tools for their analyses. On the basis of our results, we suggest homology search strategies using the currently available tools and some directions for future...
A method for searching of C++ string accesses with an incorrect index
A. V. Sidorin
2016-01-01
Full Text Available Since C++ is a commonly used programming language that is also in wide use for programming the mobile OS such as Tizen the static analysis of C++ programs is in high demand. The article is devoted to searching the accesses to C++ strings with an incorrect index. As opposed to the buffer overflows in C, this kind of defect in rarely detected by industrial static analyzers due to complexity of its modeling. In the work, we formalize the criteria of this defect and propose the formal modeling rules of C++ string-related methods and a number of STL functions. These rules allow modeling of string length and access index. The rules for summary-based inter-procedural analysis are introduced as well. The article simulates only the length of a string to provide a compromise between the search precision and the volume of data processing. A checker based on these modeling rules is implemented for the Clang Static Analyzer - a symbolic execution static analyzer for C++ code. This checker was tested on the C++ code of Android OS and OS Tizen user-mode packages (totally about 20 million strings of code. The results of an eye-inspection of warnings produced by this checker prove its precision, which is appropriate for industrial static analyzer: nearly 70.
Young people's knowledge of alcohol prices in a retail context
Jensen, Birger Boutrup; Gadensgaard, Birgitte; Godt, Diana
people’s price knowledge of alcoholic beverages is examined by a price recall and a deal spotting test. The results indicate that the vast majority of young people hold fairly accurate reference prices, while a rather large segment of young people appears to actively search for prices of alcohol in store....... Results from logistic regressions are reported. The authors find a significant effect of ‘purchasing a special’ and ‘recognisable prices’ on price recall. However, no significant effect of purchase frequency, recency or demographical variables is found. Implications for public policy and managers...
2010-10-01
... submission of cost or pricing data or information other than cost or pricing data. 215.403-5 Section 215.403... DEFENSE CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 215.403-5 Instructions for submission of cost or pricing data or information other than cost or pricing data. When...
Why are product prices in online markets not converging?
Takayuki Mizuno
Full Text Available Why are product prices in online markets dispersed in spite of very small search costs? To address this question, we construct a unique dataset from a Japanese price comparison site, which records price quotes offered by e-retailers as well as customers' clicks on products, which occur when they proceed to purchase the product. The novelty of our approach is that we seek to extract useful information on the source of price dispersion from the shape of price distributions rather than focusing merely on the standard deviation or the coefficient of variation of prices, as previous studies have done. We find that the distribution of prices retailers quote for a particular product at a particular point in time (divided by the lowest price follows an exponential distribution, showing the presence of substantial price dispersion. For example, 20 percent of all retailers quote prices that are more than 50 percent higher than the lowest price. Next, comparing the probability that customers click on a retailer with a particular rank and the probability that retailers post prices at a particular rank, we show that both decline exponentially with price rank and that the exponents associated with the probabilities are quite close. This suggests that the reason why some retailers set prices at a level substantially higher than the lowest price is that they know that some customers will choose them even at that high price. Based on these findings, we hypothesize that price dispersion in online markets stems from heterogeneity in customers' preferences over retailers; that is, customers choose a set of candidate retailers based on their preferences, which are heterogeneous across customers, and then pick a particular retailer among the candidates based on the price ranking.
Schrijvers, Tom; Wuille, Pieter; Samulowitz, Horst; Stuckey, Peter J
2012-01-01
The ability to model search in a constraint solver can be an essential asset for solving combinatorial problems. However, existing infrastructure for defining search heuristics is often inadequate. Either modeling capabilities are extremely limited or users are faced with a general-purpose programming language whose features are not tailored towards writing search heuristics. As a result, major improvements in performance may remain unexplored. This article introduces search combinators, a lightweight and solver-independent method that bridges the gap between a conceptually simple modeling language for search (high-level, functional and naturally compositional) and an efficient implementation (low-level, imperative and highly non-modular). By allowing the user to define application-tailored search strategies from a small set of primitives, search combinators effectively provide a rich domain-specific language (DSL) for modeling search to the user. Remarkably, this DSL comes at a low implementation cost to the...
Multiple-optima search method based on a metamodel and mathematical morphology
Li, Yulin; Liu, Li; Long, Teng; Chen, Xin
2016-03-01
This article investigates a non-population-based optimization method using mathematical morphology and the radial basis function (RBF) for multimodal computationally intensive functions. To obtain several feasible solutions, mathematical morphology is employed to search promising regions. Sequential quadratic programming is used to exploit the possible areas to determine the exact positions of the potential optima. To relieve the computational burden, metamodelling techniques are employed. The RBF metamodel in different iterations varies considerably so that the positions of potential optima are moving during optimization. To find the pair of correlative potential optima between the latest two iterations, a tolerance is presented. Furthermore, to ensure that all the output minima are the global or local optima, an optimality judgement criterion is introduced.
Aschemann-Witzel, Jessica; Jensen, Jacob Haagen; Jensen, Mette Hyldetoft; Kulikovskaja, Viktorija
2017-09-01
To combat food waste, supermarkets offer food items at a reduced price in-store when they are close to the expiration date or perceived as suboptimal. It is yet unknown, however, which considerations consumers engage in when deciding about the offer, and whether focusing particularly on the price during food purchase might be related to greater food waste at home. Knowledge about both the consumers' food purchase process for these price-reduced foods and the potential wastage of price-focused consumers can contribute to the assessment of whether or not offering suboptimal food at reduced prices in-store actually reduces food waste across the supply chain. We explore these questions in a mixed-method study including 16 qualitative accompanied shopping interviews and a quantitative online experimental survey with 848 consumers in Denmark. The interviews reveal that the consumers interviewed assess their ability to consume the price-reduced suboptimal food at home already while in the store. Consumers consider the relation between product-related factors of package unit, expiration date, and product quality, in interaction with household-related factors of freezing/storing, household size/demand, and possible meal/cooking. The survey shows that consumers who are more price-focused report lower food waste levels and lower tendency to choose the optimal food item first at home, than those who are not emphasizing the price-quality relation or do not search for price offers to the same extent. Higher age and high education also played a role, and the price-focus is lower in high-income groups and among single households. The findings allow deriving recommendations for retailers and policy makers to support both the marketability and the subsequent actual consumption of price-reduced suboptimal food, but they also raise questions for further research of this underexplored area. Copyright © 2017 Elsevier Ltd. All rights reserved.
Method of economic index nowcasting based on search data%基于搜索行为的经济指标预测方法
李凤岐; 李光明
2017-01-01
宏观经济指标能够反映经济实体在多个领域中的活动状态,对经济走势的预测,相关政策的制定以及消费趋势的预判都有重要意义.作为中国领先的搜索服务提供商,百度拥有海量的搜索时序数据,暗含着亿万用户的搜索行为,切实反应了用户的关注焦点,某种程度上构成了与经济活动的间接联系.由此,利用搜索时序数据预测经济指标变得意义重大,然而,如何根据搜索行为预测经济指标这样涉及多个领域的宏观指标,仍然是一个悬而未决的难题.针对这种情况,提出了PS(Predictable Searches)方法,自动地挖掘百度搜索查询数据与经济指标间的关系,筛选出具有代表性查询数据,预测经济指标,不仅消除了同类方法中领域专家知识的成本代价,同时提升了对经济指标的预测效果,并且揭示了不同种类的搜索查询数据预测经济指标的能力,有利于指导经济活动的健康进行.对中国的CPI(Consumer Price Index,居民消费价格指数)和CCI(Consumer Confidence Index,消费者信心指数)等先行经济指标的预测,充分证明了PS方法的有效性.%Macroeconomic indicators reflect status of economic entities in different domains, and are important for economic trend prediction, policies making and consumption trends nowcasting. As the advanced search engine service provider in China, Baidu has massive time-series data of different searches that uncover user search behaviors, which have some relation-ship with economic activities. As economic indicators infer to many different fields, how can searches be utilized to nowcast leading economic indicators is still an unsolved problem with significant meanings. To figure out this problem, this paper proposes a method called PS(Predictable Searches)to mine the relationship between Baidu's massive search query data and economic indicators automatically. Moreover, PS can filter some representative queries for further
Mohamad Hasan Moradi
2014-12-01
Full Text Available In this paper a hybrid and practical method is presented to allocate and determine combined heat and power capacity (CHP generator at a bus. This method consists of two stages. First, the suitable buses for CHP installation will be found by the bus thermal coefficient . This coefficient indicates the possibility of the heat selling around each bus and will be calculated by using the Fuzzy method. Next, for each of the appropriate buses, considering the obtained heat capacity and electrical power ratio to the heat of the CHPs in the market, several CHPs are recommended. Second, on the one hand, the improvement of the technical criteria after the CHPs installation is derived by using the nodal pricing methods as the financial benefits of the distribution companies and on the other hand, the investors’ financial benefits from the sold heat output of the CHPs is determined. Finally, using the Game Theory and considering the distribution companies and investors as the players, the suitable location and capacity for CHP installation based on the set Game strategy is obtained. The proposed method is implemented to a sample distribution feeder in the Hamadan city and the results are shown.
Method of option pricing under incomplete market%不完备市场中期权定价的方法
赵宝林; 李翠香
2014-01-01
In traditional option pricing models one assumes that the market is complete and no arbitrage .However this type market doesn’t exist .1988 Bladt proposed an insurance actuarial approach of option pricing for the first time .This method has no constraints on the market .His idea is :risk-free asset is discounted by the risk-free interest rate ,risk asset is in accordance with the expected return discount .In 2008 Zheng Hong modified Bladt's definition .In this paper ,firstly we compare the two kinds of definitions under the B-S model condition .The results showed that Bladt’s definition is more rea-sonable .Then Bladt’s definition is extended to the case of stochastic interest rate .By the help of the measure transformation and the theory of equivalent martingale ,we give the actuarial price of European options under stochastic interest rate .%传统的期权定价都是假设市场是完备的且无套利存在，但这种市场是不存在的．1988年Bladt首次提出了期权定价的保险精算方法，该方法对市场没有条件限制．其基本思想是：无风险资产按无风险利率贴现，风险资产按期望收益率贴现．2008年郑红修改了Bladt的定义．笔者首先在B/S模型的条件下对两种定义进行了比较，发现Bladt的定义更合理，其次把Bladt的定义推广到了随机利率的情形，利用测度变换，给出了随机利率下欧式期权的保险精算价格．
Grid-Search Location Methods for Ground-Truth Collection from Local and Regional Seismic Networks
Schultz, C A; Rodi, W; Myers, S C
2003-07-24
The objective of this project is to develop improved seismic event location techniques that can be used to generate more and better quality reference events using data from local and regional seismic networks. Their approach is to extend existing methods of multiple-event location with more general models of the errors affecting seismic arrival time data, including picking errors and errors in model-based travel-times (path corrections). Toward this end, they are integrating a grid-search based algorithm for multiple-event location (GMEL) with a new parameterization of travel-time corrections and new kriging method for estimating the correction parameters from observed travel-time residuals. Like several other multiple-event location algorithms, GMEL currently assumes event-independent path corrections and is thus restricted to small event clusters. The new parameterization assumes that travel-time corrections are a function of both the event and station location, and builds in source-receiver reciprocity and correlation between the corrections from proximate paths as constraints. The new kriging method simultaneously interpolates travel-time residuals from multiple stations and events to estimate the correction parameters as functions of position. They are currently developing the algorithmic extensions to GMEL needed to combine the new parameterization and kriging method with the simultaneous location of events. The result will be a multiple-event location method which is applicable to non-clustered, spatially well-distributed events. They are applying the existing components of the new multiple-event location method to a data set of regional and local arrival times from Nevada Test Site (NTS) explosions with known origin parameters. Preliminary results show the feasibility and potential benefits of combining the location and kriging techniques. They also show some preliminary work on generalizing of the error model used in GMEL with the use of mixture
Grid-Search Location Methods for Ground-Truth Collection From Local and Regional Seismic Networks
William Rodi; Craig A. Schultz; Gardar Johannesson; Stephen C. Myers
2005-05-13
This project investigated new techniques for improving seismic event locations derived from regional and local networks. The technqiues include a new approach to empirical travel-time calibration that simultaneously fits data from multiple stations and events, using a generalization of the kriging method, and predicts travel-time corrections for arbitrary event-station paths. We combined this calibration approach with grid-search event location to produce a prototype new multiple-event location method that allows the use of spatially well-distributed events and takes into account correlations between the travel-time corrections from proximate event-station paths. Preliminary tests with a high quality data set from Nevada Test Site explosions indicated that our new calibration/location method offers improvement over the conventional multiple-event location methods now in common use, and is applicable to more general event-station geometries than the conventional methods. The tests were limited, however, and further research is needed to fully evaluate, and improve, the approach. Our project also demonstrated the importance of using a realistic model for observational errors in an event location procedure. We took the initial steps in developing a new error model based on mixture-of-Gaussians probability distributions, which possess the properties necessary to characterize the complex arrival time error processes that can occur when picking low signal-to-noise arrivals. We investigated various inference methods for fitting these distributions to observed travel-time residuals, including a Markov Chain Monte Carlo technique for computing Bayesian estimates of the distribution parameters.
Pharmaceutical policies: effects of reference pricing, other pricing, and purchasing policies.
Acosta, Angela; Ciapponi, Agustín; Aaserud, Morten; Vietto, Valeria; Austvoll-Dahlgren, Astrid; Kösters, Jan Peter; Vacca, Claudia; Machado, Manuel; Diaz Ayala, Diana Hazbeydy; Oxman, Andrew D
2014-10-16
Pharmaceuticals are important interventions that could improve people's health. Pharmaceutical pricing and purchasing policies are used as cost-containment measures to determine or affect the prices that are paid for drugs. Internal reference pricing establishes a benchmark or reference price within a country which is the maximum level of reimbursement for a group of drugs. Other policies include price controls, maximum prices, index pricing, price negotiations and volume-based pricing. To determine the effects of pharmaceutical pricing and purchasing policies on health outcomes, healthcare utilisation, drug expenditures and drug use. We searched the Cochrane Central Register of Controlled Trials (CENTRAL), part of The Cochrane Library (including the Effective Practice and Organisation of Care Group Register) (searched 22/10/2012); MEDLINE In-Process & Other Non-Indexed Citations and MEDLINE, Ovid (searched 22/10/2012); EconLit, ProQuest (searched 22/10/2012); PAIS International, ProQuest (searched 22/10/2012); World Wide Political Science Abstracts, ProQuest (searched 22/10/2012); INRUD Bibliography (searched 22/10/2012); Embase, Ovid (searched 14/12/2010); NHSEED, part of The Cochrane Library (searched 08/12/2010); LILACS, VHL (searched 14/12/2010); International Political Science Abstracts (IPSA), Ebsco (searched (17/12/2010); OpenSIGLE (searched 21/12/10); WHOLIS, WHO (searched 17/12/2010); World Bank (Documents and Reports) (searched 21/12/2010); Jolis (searched 09/10/2011); Global Jolis (searched 09/10/2011) ; OECD (searched 30/08/2005); OECD iLibrary (searched 30/08/2005); World Bank eLibrary (searched 21/12/2010); WHO - The Essential Drugs and Medicines web site (browsed 21/12/2010). Policies in this review were defined as laws; rules; financial and administrative orders made by governments, non-government organisations or private insurers. To be included a study had to include an objective measure of at least one of the following outcomes: drug use
2010-01-01
Based on the research introduction of domestic and foreign scholars,dynamic equilibrium between the rural labor force flow and the price of agricultural product is analyzed by VEC model,according to the data of the rural labor force flow and the price of agricultural products in the years 1990-2007.Chows breakpoint test is used to measure the stage characteristics of the impact of rural labor force flow on the price of agricultural product.Result shows that there is a long-term and stationary relationship between the flow quantity of rural labor force and the price of agricultural product.Rural labor force flow,as an exogenous force,affects the agricultural production,and further influences the price fluctuation of agricultural products.Impact of rural labor force flow on the price of agricultural product is from weak to strong,then grows gradually weaker,and reaches its peak value at the year 1998.With the development of rural society and economy and the market process,rural labor force flow endogenously affects the price of agricultural product,which has periodic characteristics.In order to achieve a dual stabilization of the rural labor force flow and the price of agricultural products,the following countermeasures are put forward:vigorously developing vocational education,increasing the support for agricultural production,and making active employment measures.
Stacey, Brian
2015-01-01
Price discrimination enjoys a long history in the airline industry. Borenstein (1989) discusses price discrimination through frequent flyer programs from 1985 as related to the Piedmont-US Air merger, price discrimination strategies have grown in size and scope since then. From Saturday stay over requirements to varying costs based on time of purchase, the airline industry is uniquely situated to enjoy the fruits of price discrimination.
陈美华
2014-01-01
Based on the redefinition of the basic value,this paper put forwart the measure method of real estate price bubble according to the house leasing price and taking the inflation factor into account.Then,using the related data from Guangzhou city,the article analyses the degree of real estate price bubble and offers relevant warning mark.It comes to the conclusion that the degree of real estate price bubble has not reached the level of 30% being taken as bubble warning mark in the first-tier city like Guangzhou.The real estate price volatility is still within the normal range of market adjustment.Therefore,Therefore,it is not necessary for the govement to use non-market policy to intervene the normal fluctuations of real estate price.%在对房地产基础价值进行界定的基础上，提出了基于房地产租赁价格并考虑通胀因素的房地产价格泡沫测度方法。利用广州市2001-2013年的相关数据，对房地产价格泡沫程度进行了分析，并提出了相应的警戒标准，进而得出结论：以广州市为代表的一线城市的房地产价格尚未达到30%的泡沫警戒线，房价涨跌幅度仍属市场机制调节的正常范围，因而没有必要采取非市场调节手段干预房价的正常波动。
Price control and macromarketing
Kancir Rade
2003-01-01
Full Text Available Price control at macro level is part of integral macro marketing strategic control system, or more precisely, part of social marketing mix control. Price impact is direct, if it is regarded in the context of needs satisfaction, and indirect, within the context of resource allocation. These two patterns of price impact define control mechanism structuring. Price control in sense of its direct impact at process of need satisfaction should comprise qualitative and quantitative level of needs satisfaction at a given price level and its structure, informational dimension of price and different disputable forms of corporate pricing policies. Control of price allocation function is based at objectives of macro marketing system management in the area of resource allocation and the role of price as allocator in contemporary market economies. Control process is founded, on one hand, at theoretical models of correlation between price and demand in different market structures, and on the other hand, at complex limits that price as allocator has, and which make whole control process even more complex because of reduction of the degree of determinism in functioning of contemporary economic systems. Control of price allocation function must be continuous and dynamic process if it is to provide for convergence with environmental changes and if it is to provide for placing control systems at micro marketing levels in the function of socially valid objectives.
Regulation of Pharmaceutical Prices
Kaiser, Ulrich; Mendez, Susan J.; Rønde, Thomas
the joint eects of this reform on prices and quantities. Prices decreased more than 26 percent due to the reform, which reduced patient and government expenditures by 3.0 percent and 5.6 percent, respectively, and producer revenues by 5.0 percent. The prices of expensive products decreased more than...
Valuation Struggles over Pricing
Pallesen, Trine
2016-01-01
public goods into play, all the while prompting a translation of these values into a single price. Following the struggles over the pricing of wind power in the early 2000s, the study illustrates that rather than a pollution of the market sphere by that of politics, a politics of pricing can be observed...
Dutch house price fundamentals
Haffner, M.E.A.; de Vries, P.
2009-01-01
This paper discusses house price developments in the Netherlands, specifically focussing on the question whether current house prices in the Dutch owner-occupied market are likely to decrease. We analyse three aspects of the question based on a literature review: (1) whether there is a house price b
Dutch house price fundamentals
Haffner, M.E.A.; de Vries, P.
2009-01-01
This paper discusses house price developments in the Netherlands, specifically focussing on the question whether current house prices in the Dutch owner-occupied market are likely to decrease. We analyse three aspects of the question based on a literature review: (1) whether there is a house price
无
2004-01-01
The price raise in natural resources is inevitable. At present, building ceramic industry is facing the pressure brought by price raise in raw material. Marketing directors still hesitate whether the price of ceramic tiles should be raised. The crisis brought by social environment made the employees care-laden.
Searching chromosomal landmarks in Indian lentils through EMA-based Giemsa staining method.
Jha, Timir Baran; Halder, Mihir
2016-09-01
Lentil is one of the oldest protein-rich food crop with only one cultivated and six wild species. India is one important cultivator, producer and consumer of lentils and possesses a large number of germplasms. All species of lentil show 2n = 14 chromosomes. The primary objective of the present paper is to search chromosomal landmarks through enzymatic maceration and air drying (EMA)-based Giemsa staining method in five Indian lentil species not reported elsewhere at a time. Additionally, gametic chromosome analysis, tendril formation and seed morphology have been studied to ascertain interspecific relationships in lentils. Chromosome analysis in Lens culinaris, Lens orientalis and Lens odemensis revealed that they contain intercalary sat chromosome and similar karyotypic formula, while Lens nigricans and Lens lamottei showed presence of terminal sat chromosomes not reported earlier. This distinct morphological feature in L. nigricans and L. lamottei may be considered as chromosomal landmark. Meiotic analysis showed n = 7 bivalents in L. culinaris, L. nigricans and L. lamottei. No tendril formation was observed in L. culinaris, L. orientalis and L. odemensis while L. nigricans and L. lamottei developed very prominent tendrils. Based on chromosomal analysis, tendril formation and seed morphology, the five lentil species can be separated into two distinct groups. The outcome of this research may enrich conventional and biotechnological breeding programmes in lentil and may facilitate an easy and alternative method for identification of interspecific hybrids.
The Laue diffraction method to search for a neutron EDM. Experimental test of the sensitivity
Fedorov, V.V. E-mail: vfedorov@mail.pnpi.spb.ru; Lapin, E.G.; Lelievre-Berna, E.; Nesvizhevsky, V.V.; Petoukhov, A.K.; Semenikhin, S.Yu.; Soldner, T.; Tasset, F.; Voronin, V.V
2005-01-01
The feasibility of an experiment to search for the neutron electric dipole moment (EDM) by Laue diffraction in crystals without a center of symmetry was tested. At the PF1A beam of the ILL reactor a record time delay of {tau}{approx}2 ms for the passage of neutrons through a quartz crystal was reached for the (1 1 0) plane and diffraction angles equal to 88.5 degrees. That corresponds to an effective neutron velocity in the crystal of 20 m/s, while the velocity of the incident neutron was 800 m/s. It was shown experimentally that the value {tau}N{sup 1/2}, determining the method's sensitivity, has a maximum for the Bragg angle equal to 86 deg. The results allow us to estimate the statistical sensitivity of the method for the neutron EDM. For the PF1B beam of the ILL reactor the sensitivity can reach {approx}6x10{sup -25} e cm per day for the available quartz crystal.
Santosh Kumar Singh
2017-06-01
Full Text Available This paper presents a new hybrid method based on Gravity Search Algorithm (GSA and Recursive Least Square (RLS, known as GSA-RLS, to solve the harmonic estimation problems in the case of time varying power signals in presence of different noises. GSA is based on the Newton’s law of gravity and mass interactions. In the proposed method, the searcher agents are a collection of masses that interact with each other using Newton’s laws of gravity and motion. The basic GSA algorithm strategy is combined with RLS algorithm sequentially in an adaptive way to update the unknown parameters (weights of the harmonic signal. Simulation and practical validation are made with the experimentation of the proposed algorithm with real time data obtained from a heavy paper industry. A comparative performance of the proposed algorithm is evaluated with other recently reported algorithms like, Differential Evolution (DE, Particle Swarm Optimization (PSO, Bacteria Foraging Optimization (BFO, Fuzzy-BFO (F-BFO hybridized with Least Square (LS and BFO hybridized with RLS algorithm, which reveals that the proposed GSA-RLS algorithm is the best in terms of accuracy, convergence and computational time.
PREMIUM PRICE PENGELOLAAN SUMBERDAYA HUTAN PRODUKSI BERSERTIFIKASI
Rina Muhayah Noor Pitri
2016-09-01
Full Text Available Forest certification is a key issue in relation to the forest products industry. It's also a new trend market of forest products. Forest certification is a guarantee that the products resulting from the forest management process in accordance with the standard of sustainable forest resources management. Certification will be increasing the cost of management as an impact of fulfilling requirement on the criteria of the certified forest. The fundamental question whether the award of certified products has been accompanied by an increase in premium price for forest estate or only becoming as the cost that reducing profit for the forest estate. The aims of this research are: 1 to know the difference between the sales price of certified and non-certified wood, 2 to know the premium price on certified forests, 3 to identify the factors that influence the amount of premium price of the certified forest. Data collection were used by searching the document and literature reference on forest certification. The results showed that the premium price received from the certified timber is higher than non-certified timber. Certified wood with high quality has a premium price that is greater than the low-quality wood. The percentage of premium price received varied forest estate. Premium price sometimes unsignificantly received by small-scale of timber estate. The revenue of premium price of certifies forest is influenced by the following factors: 1 The forest area to be certified, 2 Organizations that perform assessments, 3 Company / bodies / organizations that filed the certification, 4 he The country as a buyer of certified timber product 5 the facilitator in the market activities, 6 post-certification fee, and 7 the sales price.
State energy price and expenditure report 1994
NONE
1997-06-01
The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.
Incorrect likelihood methods were used to infer scaling laws of marine predator search behaviour.
Andrew M Edwards
Full Text Available BACKGROUND: Ecologists are collecting extensive data concerning movements of animals in marine ecosystems. Such data need to be analysed with valid statistical methods to yield meaningful conclusions. PRINCIPAL FINDINGS: We demonstrate methodological issues in two recent studies that reached similar conclusions concerning movements of marine animals (Nature 451:1098; Science 332:1551. The first study analysed vertical movement data to conclude that diverse marine predators (Atlantic cod, basking sharks, bigeye tuna, leatherback turtles and Magellanic penguins exhibited "Lévy-walk-like behaviour", close to a hypothesised optimal foraging strategy. By reproducing the original results for the bigeye tuna data, we show that the likelihood of tested models was calculated from residuals of regression fits (an incorrect method, rather than from the likelihood equations of the actual probability distributions being tested. This resulted in erroneous Akaike Information Criteria, and the testing of models that do not correspond to valid probability distributions. We demonstrate how this led to overwhelming support for a model that has no biological justification and that is statistically spurious because its probability density function goes negative. Re-analysis of the bigeye tuna data, using standard likelihood methods, overturns the original result and conclusion for that data set. The second study observed Lévy walk movement patterns by mussels. We demonstrate several issues concerning the likelihood calculations (including the aforementioned residuals issue. Re-analysis of the data rejects the original Lévy walk conclusion. CONCLUSIONS: We consequently question the claimed existence of scaling laws of the search behaviour of marine predators and mussels, since such conclusions were reached using incorrect methods. We discourage the suggested potential use of "Lévy-like walks" when modelling consequences of fishing and climate change, and caution
Kromin, A A; Ignatova, Yu P
2014-02-01
A method for registration of the sniffing component of the search behavior in rabbits subjected to food deprivation is suggested. Pulsed activities of the muscles controlling the movements of the wings of the nostrils and the pressure in the nasal cavity are recorded simultaneously. The method allows accurate artifact-free registration of the time and amplitude parameters of the sniffing component of the search behavior. The registration is realized on an MP150 programmed complex, consisting of EMG 100C biopotential amplifiers and Samba 202 intracavitary pressure recorder. The method allows synchronous real-time registration of pulsed activities of the muscles setting in motion the wings of the nostrils and the changes in the intranasal pressure in the course of search behavior of animals under conditions of food deprivation without limiting their locomotor activity.
van Hemel, B M; Buikema, H J; Groen, H; Suurmeijer, A J H
2009-08-01
The aim of this quality controlling study was to determine the accuracy of liquid-based cytology (LBC) with the Turbitec cytocentrifuge technique. Cervical smears of 632 women, who were referred to our CIN outpatient department, after at least two smears with ASCUS or higher were evaluated and compared with the histological outcome. In 592 cases the smears revealed abnormalities of squamous epithelium, and in 40 cases the abnormalities of glandular epithelium. In the group of squamous epithelium abnormalities, the sensitivity for LSIL was 39.7% and the specificity was 89.2%; for the LSIL+ group, these values were 89.4% and 91.4%, respectively. For HSIL the sensitivity was 68.3% and the specificity 92.8%, for the HSIL+ group 82.3% and 92.3%, respectively. The ASCUS rate was low (2.4%). The Turbitec cytocentrifuge method was proved to be a very good LBC method for cervical smears. Because of a comparable accuracy together with a lower price, this LBC method outweighs commercial alternatives.
An Exploration of Retrieval-Enhancing Methods for Integrated Search in a Digital Library
Sørensen, Diana Ransgaard; Bogers, Toine; Larsen, Birger
2012-01-01
Integrated search is defined as searching across different document types and representations simultaneously, with the goal of presenting the user with a single ranked result list containing the optimal mix of document types. In this paper, we compare various approaches to integrating three diffe...
Matsak, Alexander
2015-01-01
The subject of this Bachelors or of Art work is research of pricing and price policy of management company CJSC "Nash Standart" , which is included in group of companies Properties O1 enterprises, in the conditions of financial and economic instability. The purpose of work is search of ways of optimization of price policy in the market of commercial real estate. The management company CJSC "Nash Standart" is one of the leaders in the Moscow market in granting to clients professional services ...
Price and consumption of tobacco
Virendra Singh
2012-01-01
Full Text Available Background: It is thought that price increase in tobacco products leads to reduced consumption. Though many studies have substantiated this concept, it has not been well studied in India. Recently, price of tobacco products was increased due to ban on plastic sachets of chewing tobacco and increased tax in Rajasthan. This study was designed to evaluate the effect of price rise on overall consumption of tobacco in Jaipur city, Rajasthan. Materials and Methods: This study was carried out in Jaipur city. Two-staged stratified sampling was used. In the first phase of study, cost and consumption of various tobacco products in the months of February and April were enquired from 25 retail tobacco shops. In the second phase, tobacco consumption was enquired from 20 consecutive consumers purchasing any tobacco product from all the above retail tobacco shops. The data were statistically analyzed using descriptive statistics and paired "t" test. Results: The comparison of prices of tobacco products between February and April revealed that the price of cigarette, bidi, and chewing tobacco has increased by 19%, 21%, and 68%, respectively. Average decrease in sales of cigarettes, bidi, and chewing tobacco at shops included in the study were 14%, 23%, and 38%, respectively. The consumers purchasing tobacco also reported decreased consumption. Chewing tobacco showed the maximum reduction (21%. Consumption of cigarette and bidi has also reduced by 15% and 13%, respectively. Conclusion: It may be concluded that reduction in consumption is associated with increased price of tobacco products. Reduced consumption is comparative to the magnitude of price increase.
Freyhult, E.; Bollback, J. P.; Gardner, P. P.
2006-01-01
Homology search is one of the most ubiquitous bioinformatic tasks, yet it is unknown how effective the currently available tools are for identifying noncoding RNAs (ncRNAs). In this work, we use reliable ncRNA data sets to assess the effectiveness of methods such as BLAST, FASTA, HMMer, and Infer......Homology search is one of the most ubiquitous bioinformatic tasks, yet it is unknown how effective the currently available tools are for identifying noncoding RNAs (ncRNAs). In this work, we use reliable ncRNA data sets to assess the effectiveness of methods such as BLAST, FASTA, HMMer...
Netseva-Porcheva Tatyana
2010-01-01
Full Text Available The main aim of the paper is to present the value-based pricing. Therefore, the comparison between two approaches of pricing is made - cost-based pricing and value-based pricing. The 'Price sensitively meter' is presented. The other topic of the paper is the perceived value - meaning of the perceived value, the components of perceived value, the determination of perceived value and the increasing of perceived value. In addition, the best company strategies in matrix 'value-cost' are outlined. .
Dutch house price fundamentals
Haffner, M.E.A.; De Vries, P.
2009-01-01
This paper discusses house price developments in the Netherlands, specifically focussing on the question whether current house prices in the Dutch owner-occupied market are likely to decrease. We analyse three aspects of the question based on a literature review: (1) whether there is a house price bubble ready to burst; (2) whether house prices will decline in response to the credit crisis that started in 2007; and (3) whether it is likely that house prices will decrease as a result of reform...
A method of searching for supernova candidates from massive galaxy spectra
无
2010-01-01
This paper presents a novel spectroscopic method for searching for supernova candidates from massive galaxy spectra,which is expected to be applied to the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST).This method includes mainly five steps.The first step is spectral preprocessing,including removing spectral noise using wavelet transform,spectral de-redshift,etc.The second step is decomposition of galactic spectra;we can get the galaxy component and supernova component and calculate the Supernova Statistical Characterization Vector (SNSCV) of each galaxy spectrum.The third step is to decrease samples in all the galaxy spectral datasets according to SNSCV of each spectrum,and to use the LOF (Local Outlier Factor)-based outlier detection algorithm to obtain the preliminary selected spectral data.The fourth step is template matching by cross-correlation,according to the matched results we get the secondary selected spectral data.Finally,we choose the final supernova candidates manually through checking the spectral features characteristic of a supernova.By the spectroscopic method proposed in this paper,thirty-six supernova candidates have been detected in a dataset including 294843 galaxy spectra from the Sloan Digital Sky Survey Data Release 7.Nine of these objects are detected first and the other twenty-seven have been reported in other publications (fifteen of which are detected and reported first by us).The twenty-four new super-nova candidates include twenty Ia type supernova candidates,three Ic type supernova candidates and one II type supernova candidate.
Price learning during grocery shopping
Jensen, Birger Boutrup
of what consumers learn about prices during grocery shopping. Three measures of price knowledge corresponding to different levels of price information processing were applied. Results indicate that price learning does take place and that episodic price knowledge after store exit is far more widespread...... than expected. Consequently, a new view of how consumer price knowledge evolves during grocery shopping is presented....
Cheng-Yu Yeh
2012-01-01
Full Text Available With the large availability of protein interaction networks and microarray data supported, to identify the linear paths that have biological significance in search of a potential pathway is a challenge issue. We proposed a color-coding method based on the characteristics of biological network topology and applied heuristic search to speed up color-coding method. In the experiments, we tested our methods by applying to two datasets: yeast and human prostate cancer networks and gene expression data set. The comparisons of our method with other existing methods on known yeast MAPK pathways in terms of precision and recall show that we can find maximum number of the proteins and perform comparably well. On the other hand, our method is more efficient than previous ones and detects the paths of length 10 within 40 seconds using CPU Intel 1.73GHz and 1GB main memory running under windows operating system.
Pricing Bermudan options under Merton jump-diffusion asset dynamics
Cong, F.; Oosterlee, C.W.
2015-01-01
In this paper, a recently developed regression-based option pricing method, the Stochastic Grid Bundling Method (SGBM), is considered for pricing multidimensional Bermudan options.We compare SGBM with a traditional regression-based pricing approach and present detailed insight in the application of
Search for a Light Higgs Boson in Central Exclusive Diffraction: Method and Detectors
Kalliopuska, Juha
By detecting leading protons produced in the Central Exclusive Diffractive process, p+p → p+X+p, one can measure the missing mass, and scan for possible new particle states such as the Higgs boson. This process augments - in a model independent way - the standard methods for new particle searches at the Large Hadron Collider (LHC) and will allow detailed analyses of the produced central system, such as the spin-parity properties of the Higgs boson. The exclusive central diffractive process makes possible precision studies of gluons at the LHC and complements the physics scenarios foreseen at the next e+e− linear collider. This thesis first presents the conclusions of the first systematic analysis of the expected precision measurement of the leading proton momentum and the accuracy of the reconstructed missing mass. In this initial analysis, the scattered protons are tracked along the LHC beam line and the uncertainties expected in beam transport and detection of the scattered leading protons are accounte...
Searching for beyond the Standard Model physics using direct and indirect methods at LHCb
Hall, Samuel C P
It is known that the Standard Model of particle physics is incomplete in its description of nature at a fundamental level. For example, the Standard Model can neither incorporate dark matter nor explain the matter dominated nature of the Universe. This thesis presents three analyses undertaken using data collected by the LHCb detector. Each analysis searches for indications of physics beyond the Standard Model in dierent decays of B mesons, using dierent techniques. Notably, two analyses look for indications of new physics using indirect methods, and one uses a direct approach. The rst analysis shows evidence for the rare decay BÑ D s with greater than 3 signicance; this also constitutes the rst evidence for a fullyhadronic annihilation-type decay of a B meson. A measurement of the branching fraction of the decay BÑ D s is seen to be higher than, but still compatible with, Standard Model predictions. The CP-asymmetry of the decay is also measured, and its value is precisely in line wi...
Zhang, H. H.; Gao, S.; Chen, W.; Shi, L.; D'Souza, W. D.; Meyer, R. R.
2013-03-01
An important element of radiation treatment planning for cancer therapy is the selection of beam angles (out of all possible coplanar and non-coplanar angles in relation to the patient) in order to maximize the delivery of radiation to the tumor site and minimize radiation damage to nearby organs-at-risk. This category of combinatorial optimization problem is particularly difficult because direct evaluation of the quality of treatment corresponding to any proposed selection of beams requires the solution of a large-scale dose optimization problem involving many thousands of variables that represent doses delivered to volume elements (voxels) in the patient. However, if the quality of angle sets can be accurately estimated without expensive computation, a large number of angle sets can be considered, increasing the likelihood of identifying a very high quality set. Using a computationally efficient surrogate beam set evaluation procedure based on single-beam data extracted from plans employing equally-spaced beams (eplans), we have developed a global search metaheuristic process based on the nested partitions framework for this combinatorial optimization problem. The surrogate scoring mechanism allows us to assess thousands of beam set samples within a clinically acceptable time frame. Tests on difficult clinical cases demonstrate that the beam sets obtained via our method are of superior quality.
Algebraic connectivity optimization in flight routes addition problem using tabu search method
Lumbanraja, E. M. U.; Sugeng, K. A.; Hariadi, N.
2017-07-01
In graph theory, the robustness of a network measures its resilience (in terms of connectivity) to either removal of network nodes or edges. Using algebraic connectivity is one of the best way to measure the robustness of a network. The higher algebraic connectivity means more robust network. The goal of this work is to improve the robustness of an existing air transportation network. It can be accomplished by adding edges (routes) to the network. However, due to limited budget and aircraft, the routes to be added have to be chosen carefully. The best routes to be added are the routes that will yield the highest algebraic connectivity when they were added to the network. This problem of choosing the best routes to be added is called flight routes addition. In this paper, the flight routes addition is solved using Tabu Search method with the algebraic connectivity component to choose two new lines to strengthening the robustness of the flight routes. We only consider the robustness and do not.
48 CFR 15.403 - Obtaining certified cost or pricing data.
2010-10-01
... or pricing data. 15.403 Section 15.403 Federal Acquisition Regulations System FEDERAL ACQUISITION REGULATION CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 15.403 Obtaining certified cost or pricing data....
Uniformity Analysis for Index of Retail Price
潘竞红; 曾庆洪; 刘梅英
2002-01-01
Using the Hodges-Ajne testing method, the uniformity of China retail price index was tested. The result, that population is submitting to uniform dist ribution, was obtained. The uniformity of CRPI indicates that the general price level is stable in the Ninth Five-Year Plan. Finally, the reasons causing the uniformity was analyzed.
Constructing forward price curves in electricity markets
Fleten, S.-E.; Lemming, Jørgen Kjærgaard
2003-01-01
We present and analyze a method for constructing approximated high-resolution forward price curves in electricity markets. Because a limited number of forward or futures contracts are traded in the market, only a limited picture of the theoretical continuous forward price curve is available...
Adaptive Strategies for Dynamic Pricing Agents
S. Ramezani (Sara); P.A.N. Bosman (Peter); J.A. La Poutré (Han)
2011-01-01
htmlabstractDynamic Pricing (DyP) is a form of Revenue Management in which the price of a (usually) perishable good is changed over time to increase revenue. It is an effective method that has become even more relevant and useful with the emergence of Internet firms and the possibility of readily
林枫; 张美玲
2013-01-01
This paper revises the pricing method of housing reverse mortgage loan with right of redemption and obtains an advanced option pricing model in allusion to shortages of option method. Considering the influence of lifetime on the term of loan, it further uses actuarial principle to optimize the advanced option pricing model and obtains a more accurate and reasonable option-actuarial pricing model and method, and verifies the feasibility and rationality of the method through case analysis.%针对期权法的不足,修正了有赎回权的住房反向抵押贷款的定价方式,得到了改进的期权定价模型.又考虑到人的寿命对贷款期限的影响,进而利用精算原理对改进的期权定价模型进行了优化,得到了更精确合理的期权-精算定价模型及定价公式,并通过实例分析验证了方法的可行性与合理性.
Tanaka, Kazumoto
2009-01-01
This paper proposes a method of gesture recognition with a focus on important actions for distinguishing similar gestures. The method generates a partial action sequence by using optical flow images, expresses the sequence in the eigenspace, and checks the feature vector sequence by applying an optimum path-searching method of weighted graph to focus the important actions. Also presented are the results of an experiment on the recognition of similar sign language words.
Kazumoto Tanaka
2009-11-01
Full Text Available This paper proposes a method of gesture recognition with a focus on important actions for distinguishing similar gestures. The method generates a partial action sequence by using optical flow images, expresses the sequence in the eigenspace, and checks the feature vector sequence by applying an optimum path-searching method of weighted graph to focus the important actions. Also presented are the results of an experiment on the recognition of similar sign language words.
A New Method to Search for CP violation in the Neutrino Sector
Conrad, J M
2009-01-01
New low-cost, high-power proton cyclotrons open the opportunity for a novel precision search for CP violation in the neutrino sector. The accelerators can produce decay-at-rest neutrino beams located at multiple distances from a Gd-doped ultra-large water Cerenkov detector in order to search for CP violation in anti-nu_mu to anti-nu_e at short baseline. This new type of search complements presently proposed experiments, providing measurements that could lead to a substantially better exploration of CP violation in the neutrino sector.
Pricing hazardous substance emissions
Staring, Knut; Vennemo, Haakon
1997-12-31
This report discusses pricing of emissions to air of several harmful substances. It combines ranking indices for environmentally harmful substances with economic valuation data to yield price estimates. The ranking methods are discussed and a relative index established. Given the relative ranking of the substances, they all become valued by assigning a value to one of them, the `anchor` substance, for which lead is selected. Valuations are provided for 19 hazardous substances that are often subject to environmental regulations. They include dioxins, TBT, etc. The study concludes with a discussion of other categories of substances as well as uncertainties and possible refinements. When the valuations are related to CO, NOx, SOx and PM 10, the index system undervalues these pollutants as compared to other studies. The scope is limited to the outdoor environment and does not include global warming and eutrophication. The indices are based on toxicity and so do not apply to CO{sub 2} or other substances that are biologically harmless. The index values are not necessarily valid for all countries and should be considered as preliminary. 18 refs., 6 tabs.
TOURISM MARKET: PRICING ISSUES
Irina A. Kiseleva
2016-01-01
Full Text Available The article is devoted to the actual topic of our time - the development of tourism services. The development of tourism is the leading technology trend dynamics maroon economic caused social restructuring of modern society. Macroeconomic Financial Statistics conrms the minimum amplitude of cyclical uctuations in the service sector, which turns it into countercyclical tool. In the Russian Federation the economic problem of a state policy in the sphere of tourist services is defined - to having turned tourism in competitive, innovative, countercyclical, and highly protable sector of national business. In article pricing factors are dened and are dened key of them, responsible for the cost of a tourist product. This work answers such questions of travel company as: denition of optimum group, formation of a transport tariff, structure of a tourist product on the main and accompanying services and their range, ways of sale. A practical advice by calculation of expenses is given. Correlation and regression and cluster analyses acted as research tools when performing work. In article the conclusion is drawn that the main methods of marketing management of pricing in the market of tourist services are: transition to the unified technology of granting a service on the basis of ISO; intensication and integration of the sphere of production and services
Somayyeh Nadi Ravandi
2016-10-01
Full Text Available MEDLINE is one of the valuable sources of medical information on the Internet. Among the different open access sites of MEDLINE, PubMed is the best-known site. In 2010, iPubMed was established with an interaction-fuzzy search method for MEDLINE access. In the present work, we aimed to compare the precision of the retrieved sources (Best, Useful and Objective precision in the PubMed and iPubMed using two search methods (simple and MeSH search in PubMed and interaction-fuzzy method in iPubmed. During our semi-empirical study period, we held training workshops for 61 students of higher education to teach them Simple Search, MeSH Search, and Fuzzy-Interaction Search methods. Then, the precision of 305 searches for each method prepared by the students was calculated on the basis of Best precision, Useful precision, and Objective precision formulas. Analyses were done in SPSS version 11.5 using the Friedman and Wilcoxon Test, and three precisions obtained with the three precision formulas were studied for the three search methods. The mean precision of the interaction-fuzzy Search method was higher than that of the simple search and MeSH search for all three types of precision, i.e., Best precision, Useful precision, and Objective precision, and the Simple search method was in the next rank, and their mean precisions were significantly different (P < 0.001. The precision of the interaction-fuzzy search method in iPubmed was investigated for the first time. Also for the first time, three types of precision were evaluated in PubMed and iPubmed. The results showed that the Interaction-Fuzzy search method is more precise than using the natural language search (simple search and MeSH search, and users of this method found papers that were more related to their queries; even though search in Pubmed is useful, it is important that users apply new search methods to obtain the best results.
Jian Yang
2016-09-01
Full Text Available In this article, a tree search algorithm is proposed to find the near optimal conflict avoidance solutions for unmanned aerial vehicles. In the dynamic environment, the unmodeled elements, such as wind, would make UAVs deviate from nominal traces. It brings about difficulties for conflict detection and resolution. The back propagation neural networks are utilized to approximate the unmodeled dynamics of the environment. To satisfy the online planning requirement, the search length of the tree search algorithm would be limited. Therefore, the algorithm may not be able to reach the goal states in search process. The midterm reward function for assessing each node is devised, with consideration given to two factors, namely, the safe separation requirement and the mission of each unmanned aerial vehicle. The simulation examples and the comparisons with previous approaches are provided to illustrate the smooth and convincing behaviours of the proposed algorithm.
Helen Eyles
Full Text Available BACKGROUND: Food pricing strategies have been proposed to encourage healthy eating habits, which may in turn help stem global increases in non-communicable diseases. This systematic review of simulation studies investigates the estimated association between food pricing strategies and changes in food purchases or intakes (consumption (objective 1; Health and disease outcomes (objective 2, and whether there are any differences in these outcomes by socio-economic group (objective 3. METHODS AND FINDINGS: Electronic databases, Internet search engines, and bibliographies of included studies were searched for articles published in English between 1 January 1990 and 24 October 2011 for countries in the Organisation for Economic Co-operation and Development. Where ≥ 3 studies examined the same pricing strategy and consumption (purchases or intake or health outcome, results were pooled, and a mean own-price elasticity (own-PE estimated (the own-PE represents the change in demand with a 1% change in price of that good. Objective 1: pooled estimates were possible for the following: (1 taxes on carbonated soft drinks: own-PE (n = 4 studies, -0.93 (range, -0.06, -2.43, and a modelled -0.02% (-0.01%, -0.04% reduction in energy (calorie intake for each 1% price increase (n = 3 studies; (2 taxes on saturated fat: -0.02% (-0.01%, -0.04% reduction in energy intake from saturated fat per 1% price increase (n = 5 studies; and (3 subsidies on fruits and vegetables: own-PE (n = 3 studies, -0.35 (-0.21, -0.77. Objectives 2 and 3: variability of food pricing strategies and outcomes prevented pooled analyses, although higher quality studies suggested unintended compensatory purchasing that could result in overall effects being counter to health. Eleven of 14 studies evaluating lower socio-economic groups estimated that food pricing strategies would be associated with pro-health outcomes. Food pricing strategies also have the potential to reduce
Eyles, Helen; Ni Mhurchu, Cliona; Nghiem, Nhung; Blakely, Tony
2012-01-01
Background Food pricing strategies have been proposed to encourage healthy eating habits, which may in turn help stem global increases in non-communicable diseases. This systematic review of simulation studies investigates the estimated association between food pricing strategies and changes in food purchases or intakes (consumption) (objective 1); Health and disease outcomes (objective 2), and whether there are any differences in these outcomes by socio-economic group (objective 3). Methods and Findings Electronic databases, Internet search engines, and bibliographies of included studies were searched for articles published in English between 1 January 1990 and 24 October 2011 for countries in the Organisation for Economic Co-operation and Development. Where ≥3 studies examined the same pricing strategy and consumption (purchases or intake) or health outcome, results were pooled, and a mean own-price elasticity (own-PE) estimated (the own-PE represents the change in demand with a 1% change in price of that good). Objective 1: pooled estimates were possible for the following: (1) taxes on carbonated soft drinks: own-PE (n = 4 studies), −0.93 (range, −0.06, −2.43), and a modelled −0.02% (−0.01%, −0.04%) reduction in energy (calorie) intake for each 1% price increase (n = 3 studies); (2) taxes on saturated fat: −0.02% (−0.01%, −0.04%) reduction in energy intake from saturated fat per 1% price increase (n = 5 studies); and (3) subsidies on fruits and vegetables: own-PE (n = 3 studies), −0.35 (−0.21, −0.77). Objectives 2 and 3: variability of food pricing strategies and outcomes prevented pooled analyses, although higher quality studies suggested unintended compensatory purchasing that could result in overall effects being counter to health. Eleven of 14 studies evaluating lower socio-economic groups estimated that food pricing strategies would be associated with pro-health outcomes. Food pricing strategies also have the
Methods for Reducing False Alarms in Searches for Compact Binary Coalescences in LIGO Data
Slutsky, J; Brown, D A; Cadonati, L; Cain, J; Cavaglià, M; Chatterji, S; Christensen, N; Coughlin, M; Desai, S; González, G; Isogai, T; Katsavounidis, E; Rankins, B; Reed, T; Riles, K; Shawhan, P; Smith, J R; Zotov, N; Zweizig, J
2010-01-01
The LIGO detectors are sensitive to a variety of noise transients of non-astrophysical origin. Instrumental glitches and environmental disturbances increase the false alarm rate in the searches for gravitational waves. Using times already identified when the interferometers produced data of questionable quality, or when the channels that monitor the interferometer indicated non-stationarity, we have developed techniques to safely and effectively veto false triggers from the compact binary coalescences (CBCs) search pipeline.
Methods for reducing false alarms in searches for compact binary coalescences in LIGO data
Slutsky, J; Gonzalez, G [Louisiana State University, Baton Rouge, LA 70803 (United States); Blackburn, L; Katsavounidis, E [Massachusetts Institute of Technology, Cambridge, MA 02139 (United States); Brown, D A; Smith, J R [Syracuse University, Syracuse, NY 13244-1130 (United States); Cadonati, L [University of Massachusetts-Amherst, Amherst, MA 01003 (United States); Cain, J; Cavaglia, M; Rankins, B [University of Mississippi, University, MS 38677 (United States); Chatterji, S; Zweizig, J [California Institute of Technology, Pasedena, CA 91125 (United States); Christensen, N; Coughlin, M; Isogai, T [Carleton College, Northfield, MN 55057 (United States); Desai, S [NCSA at University of Illinois, Urbana-Champaign, IL 61801 (United States); Reed, T; Zotov, N [Louisiana Tech University, Ruston, LA 71272 (United States); Riles, K [University of Michigan, Ann Arbor, MI 48109 (United States); Shawhan, P, E-mail: jsluts@tigers.lsu.ed [University of Maryland, College Park, MD 20742 (United States)
2010-08-21
The LIGO detectors are sensitive to a variety of noise transients of non-astrophysical origin. Instrumental glitches and environmental disturbances increase the false alarm rate in the searches for gravitational waves. Using times already identified when the interferometers produced data of questionable quality, or when the channels that monitor the interferometer indicated non-stationarity, we have developed techniques to safely and effectively veto false triggers from the compact binary coalescences search pipeline.
Price jumps on European stock markets
Jan Hanousek
2014-03-01
Full Text Available We analyze the dynamics of price jumps and the impact of the European debt crisis using the high-frequency data reported by selected stock exchanges on the European continent during the period January 2008 to June 2012. We employ two methods to identify price jumps: Method 1 minimizes the probability of false jump detection (the Type-II Error-Optimal price jump indicator and Method 2 maximizes the probability of successful jump detection (the Type-I Error-Optimal price jump indicator. We show that individual stock markets exhibited differences in price jump intensity before and during the crisis. We also show that in general the variance of price jump intensity could not be distinguished as different in the pre-crisis period from that during the crisis. Our results indicate that, contrary to common belief, the intensity of price jumps does not uniformly increase during a period of financial distress. However, there do exist differences in price jump dynamics across stock markets and investors have to model emerging and mature markets differently to properly reflect their individual dynamics.
Theoretical Explanation of Return Predictability Based on Stock Price Formulation
Guo Lei; Wu Chongfeng; Wang Xinrong
2006-01-01
To find out which factors determine stock return and to give rational explanation of return predictability, according to the principle of stock price formulation, the trend of stock price is obtained by use of option pricing method. The trend of stock price is put into reconstructing CAPM (capital asset pricing model) beta; it is concluded that the firm-specific biases and the scale biases potentially induce return predictability. In addition, through the relation between the biases structure and the intrinsic value, an appropriate theoretic explanation is supplied for three-factor pricing model proposed by Fama and French.
Matan Drory Retwitzer
Full Text Available Riboswitches are RNA genetic control elements that were originally discovered in bacteria and provide a unique mechanism of gene regulation. They work without the participation of proteins and are believed to represent ancient regulatory systems in the evolutionary timescale. One of the biggest challenges in riboswitch research is to find additional eukaryotic riboswitches since more than 20 riboswitch classes have been found in prokaryotes but only one class has been found in eukaryotes. Moreover, this single known class of eukaryotic riboswitch, namely the TPP riboswitch class, has been found in bacteria, archaea, fungi and plants but not in animals. The few examples of eukaryotic riboswitches were identified using sequence-based bioinformatics search methods such as a combination of BLAST and pattern matching techniques that incorporate base-pairing considerations. None of these approaches perform energy minimization structure predictions. There is a clear motivation to develop new bioinformatics methods, aside of the ongoing advances in covariance models, that will sample the sequence search space more flexibly using structural guidance while retaining the computational efficiency of sequence-based methods. We present a new energy minimization approach that transforms structure-based search into a sequence-based search, thereby enabling the utilization of well established sequence-based search utilities such as BLAST and FASTA. The transformation to sequence space is obtained by using an extended inverse RNA folding problem solver with sequence and structure constraints, available within RNAfbinv. Examples in applying the new method are presented for the purine and preQ1 riboswitches. The method is described in detail along with its findings in prokaryotes. Potential uses in finding novel eukaryotic riboswitches and optimizing pre-designed synthetic riboswitches based on ligand simulations are discussed. The method components are freely
Drory Retwitzer, Matan; Kifer, Ilona; Sengupta, Supratim; Yakhini, Zohar; Barash, Danny
2015-01-01
Riboswitches are RNA genetic control elements that were originally discovered in bacteria and provide a unique mechanism of gene regulation. They work without the participation of proteins and are believed to represent ancient regulatory systems in the evolutionary timescale. One of the biggest challenges in riboswitch research is to find additional eukaryotic riboswitches since more than 20 riboswitch classes have been found in prokaryotes but only one class has been found in eukaryotes. Moreover, this single known class of eukaryotic riboswitch, namely the TPP riboswitch class, has been found in bacteria, archaea, fungi and plants but not in animals. The few examples of eukaryotic riboswitches were identified using sequence-based bioinformatics search methods such as a combination of BLAST and pattern matching techniques that incorporate base-pairing considerations. None of these approaches perform energy minimization structure predictions. There is a clear motivation to develop new bioinformatics methods, aside of the ongoing advances in covariance models, that will sample the sequence search space more flexibly using structural guidance while retaining the computational efficiency of sequence-based methods. We present a new energy minimization approach that transforms structure-based search into a sequence-based search, thereby enabling the utilization of well established sequence-based search utilities such as BLAST and FASTA. The transformation to sequence space is obtained by using an extended inverse RNA folding problem solver with sequence and structure constraints, available within RNAfbinv. Examples in applying the new method are presented for the purine and preQ1 riboswitches. The method is described in detail along with its findings in prokaryotes. Potential uses in finding novel eukaryotic riboswitches and optimizing pre-designed synthetic riboswitches based on ligand simulations are discussed. The method components are freely available for use.
Tabu search methods for multicommodity capcitated fixed charge network design problem
Crainic, T.; Farvolden, J.; Gendreau, M.; Soriano, P.
1994-12-31
We address the fixed charge capacitated multicommodity network flow problem with linear costs and no additional side constraints, and present two solution approaches based on the tabu search metaheuristic. In the first case, the search is conducted by exploring the space of the design (integer) variables, while neighbors are evaluated and moves are selected via a capacitated multicommodity minimum cost network flow subproblem. The second approach integrates simplex pivoting rules into a tabu search framework. Here, the search explores the space of flow path variables when all design arcs are open, by using column generation to obtain new variables, and pivoting to determine and evaluate the neighbors of any given solution. Adapting this idea within our tabu search framework represents an interesting challenge, since several of the standard assumptions upon which column generation schemes are based are no longer verified. In particular, the monotonic decrease of the objective function value is no longer ensured, and both variable and fixed costs characterize arcs. On the other hand, the precise definition and generation of the tabu search neighborhoods in a column generation context poses an additional challenge, linked particularly to the description and identification of path variables. We describe the various components, implementation challenges and behaviour of each of the two algorithms, and compare their computational and solution quality performance. Comparisons with known bounding procedures will be presented as well.
In vitro detection of circulating tumor cells compared by the CytoTrack and CellSearch methods
Hillig, T.; Horn, P.; Nygaard, Ann-Britt;
2015-01-01
Comparison of two methods to detect circulating tumor cells (CTC) CytoTrack and CellSearch through recovery of MCF-7 breast cancer cells, spiked into blood collected from healthy donors. Spiking of a fixed number of EpCAM and pan-cytokeratin positive MCF-7 cells into 7.5 mL donor blood was perfor...
Deposit Insurance Pricing Method Considering Bankruptcy Externalities%考虑银行破产外部效应的存款保险定价模型
吕筱宁; 秦学志
2014-01-01
运用存款保险的期望损失定价方法和Shapley值法，建立了考虑银行违约/破产外部效应的存款保险定价模型。模型中度量的破产成本不仅考虑了银行破产清算过程中其自身资产价值的损失，还考虑了银行违约/破产的负外部效应---可能增加其他银行的破产损失，据此确定的存款保险保费反映了各银行对系统总破产成本的边际贡献。为验证模型效果，构造了三种情景进行模拟分析，结果表明：存款保险保费与银行系统对破产银行资产的收购能力负相关，且负相关程度随经济形势的恶化而加剧；保费与整个银行系统参保银行数目之间也呈负相关关系。%It is generally considered that the overall costs of bank failures are higher than those in other indus-tries.This is due to the existence of negative externalities of bank failures , which may lead to additional loss of the default banks ’ assets .This paper establishes a pricing model of deposit insurance with consideration of bank -ruptcy externalities .It is taken into account that each default bank ’ s bankruptcy cost involves not only its assets loss caused by liquidation but also the externalities that may increase other banks ’ bankruptcy cost .Expected loss pricing method is used to calculate the net premium of deposit insurance while the additional premium is de -termined utilizing Shapley value .The total premium accordingly reflects each bank ’ s marginal contribution to the total bankruptcy cost of the whole banking system .Three scenarios are constructed to test the model .The results show that it is negatively correlated between the premium and the banking system ’ s acquisition ability of the bankruptcy assets , and this correlation becomes more significant when the economic situation deteriorates .Mean-while, the number of insured banks in the banking system impacts the premium negatively .
Price Prediction in a Trading Agent Competition
Lochner, K M; Vorobeychik, Y; Wellman, M P; 10.1613/jair.1333
2011-01-01
The 2002 Trading Agent Competition (TAC) presented a challenging market game in the domain of travel shopping. One of the pivotal issues in this domain is uncertainty about hotel prices, which have a significant influence on the relative cost of alternative trip schedules. Thus, virtually all participants employ some method for predicting hotel prices. We survey approaches employed in the tournament, finding that agents apply an interesting diversity of techniques, taking into account differing sources of evidence bearing on prices. Based on data provided by entrants on their agents' actual predictions in the TAC-02 finals and semifinals, we analyze the relative efficacy of these approaches. The results show that taking into account game-specific information about flight prices is a major distinguishing factor. Machine learning methods effectively induce the relationship between flight and hotel prices from game data, and a purely analytical approach based on competitive equilibrium analysis achieves equal ac...
Miloua, R; Kebbab, Z; Chiker, F; Sahraoui, K; Khadraoui, M; Benramdane, N
2012-02-15
We propose the use of a pattern search optimization technique in combination with a seed preprocessing procedure to determine the optical constants and thickness of thin films using only the transmittance spectra. The approach is quite flexible, straightforward to implement, and efficient in reaching the best fitting. We demonstrate the effectiveness of the method in extracting optical constants, even when the films are not displaying interference fringes. Comparison to a real-coded genetic algorithm shows that the modified pattern search is fast, almost accurate, and does not need any parameter adjustments. The approach is successfully applied to extract the thickness and optical constants of spray pyrolyzed nanocrystalline CdO thin films.
Tiwari, Rajiv; Waghole, Vikas
2015-07-01
Bearing standards impose restrictions on the internal geometry of spherical roller bearings. Geometrical and strength constraints conditions have been formulated for the optimization of bearing design. The long fatigue life is one of the most important criteria in the optimum design of bearing. The life is directly proportional to the dynamic capacity; hence, the objective function has been chosen as the maximization of dynamic capacity. The effect of speed and static loads acting on the bearing are also taken into account. Design variables for the bearing include five geometrical parameters: the roller diameter, the roller length, the bearing pitch diameter, the number of rollers, and the contact angle. There are a few design constraint parameters which are also included in the optimization, the bounds of which are obtained by initial runs of the optimization. The optimization program is made to run for different values of these design constraint parameters and a range of the parameters is obtained for which the objective function has a higher value. The artificial bee colony algorithm (ABCA) has been used to solve the constrained optimized problem and the optimum design is compared with the one obtained from the grid search method (GSM), both operating independently. Both the ABCA and the GSM have been finally combined together to reach the global optimum point. A constraint violation study has also been carried out to give priority to the constraint having greater possibility of violations. Optimized bearing designs show a better performance parameter with those specified in bearing catalogs. The sensitivity analysis of bearing parameters has also been carried out to see the effect of manufacturing tolerance on the objective function.
Alexander G. Kerl
2011-04-01
Full Text Available This study analyzes the accuracy of forecasted target prices within analysts’ reports. We compute a measure for target price forecast accuracy that evaluates the ability of analysts to exactly forecast the ex-ante (unknown 12-month stock price. Furthermore, we determine factors that explain this accuracy. Target price accuracy is negatively related to analyst-specific optimism and stock-specific risk (measured by volatility and price-to-book ratio. However, target price accuracy is positively related to the level of detail of each report, company size and the reputation of the investment bank. The potential conflicts of interests between an analyst and a covered company do not bias forecast accuracy.
Rolf Turner
2014-07-01
Full Text Available We describe an R package for determining the optimal price of an asset which is perishable in a certain sense, given the intensity of customer arrivals and a time-varying price sensitivity function which speci?es the probability that a customer will purchase an asset o?ered at a given price at a given time. The package deals with the case of customers arriving in groups, with a probability distribution for the group size being speci?ed. The methodology and software allow for both discrete and continuous pricing. The class of possible models for price sensitivity functions is very wide, and includes piecewise linear models. A mechanism for constructing piecewise linear price sensitivity functions is provided.
Janiszewski, Chris; Lichtenstein, Donald R.; Belyavsky, Julia
2008-01-01
There are many contexts in which people make judgments about prior judgments. For example, Internet shopping bots (e.g., NexTag.com) allow consumers to search for products and, if the price is too high, list a price at which they would consider making the purchase (i.e., base judgment). If the price drops to this level, the vendor generates an…
Customizing Prices in Online Markets
Reinartz, Werner
2002-01-01
Dynamic pricing is the dynamic adjustment of prices to consumers depending on the value these customers attribute to a good. Underlying the concept of dynamic pricing is what marketers call price customization. Price customization is the charging of different prices to end consumers based on a discriminatory variable. Internet technology will serve as a great enabling tool for making dynamic pricing accessible to many industries.
ISS: Efficient Search Scheme Based on Immune Method in Modern Unstructured Peer-to-Peer Networks
GUAN Zhitao; CAO Yuanda; ZHU Liehuang; ZHANG Changyou; FAN Xiumei
2007-01-01
Flooding is the most famous technique for locating contents in unstructured P2P networks. Recently traditional flooding has been replaced by more efficient dynamic query (DQ) and different variants of such algorithms. Dynamic query is a new flooding technique which could estimate a proper time-to-live (TTL) value for a query flooding by estimating the popularity of the searched files, and retrieve sufficient results under controlled flooding range for reducing network traffic. However, all DQ-like search algorithms are "blind" so that a large amount of redundant messages are caused. In this paper, we proposed a new search scheme, called Immune Search Scheme (ISS), to cope with this problem. In ISS, an immune systems inspired concept of similarity-governed clone proliferation and mutation for query message movement is applied. Some assistant strategies, that is, shortcuts creation and peer traveling are incorporated into ISS to develop "immune memory" for improving search performance, which can make ISS not be blind but heuristic.
Stackelberg Network Pricing Games
Briest, Patrick; Krysta, Piotr
2008-01-01
We study a multi-player one-round game termed Stackelberg Network Pricing Game, in which a leader can set prices for a subset of $m$ priceable edges in a graph. The other edges have a fixed cost. Based on the leader's decision one or more followers optimize a polynomial-time solvable combinatorial minimization problem and choose a minimum cost solution satisfying their requirements based on the fixed costs and the leader's prices. The leader receives as revenue the total amount of prices paid by the followers for priceable edges in their solutions, and the problem is to find revenue maximizing prices. Our model extends several known pricing problems, including single-minded and unit-demand pricing, as well as Stackelberg pricing for certain follower problems like shortest path or minimum spanning tree. Our first main result is a tight analysis of a single-price algorithm for the single follower game, which provides a $(1+\\epsilon) \\log m$-approximation for any $\\epsilon >0$. This can be extended to provide a ...
Relating price strategies and price-setting practices
Ingenbleek, P.T.M.; Lans, van der I.A.
2013-01-01
Purpose - This article addresses the relationship between price strategies and price-setting practices. The first derive from a normative tradition in the pricing literature and the latter from a descriptive tradition. Price strategies are visible in the market, whereas price-setting practices are h
Dynamic Relation Mechanism between Cotton Future Price and Stock Price of Related Listed Companies
2011-01-01
The Dynamic relation mechanism between ZCE cotton futures price and related listed company stock price has been studied based on the metastock historical data in January 1st,2007 to September 1st,2010,Johansen co-integration analysis,Vector error correction model,Granger causality test and variance decomposition method.The results indicated that:long-term equilibrium relationship existed between ZCE cotton futures price and Xinsai share stock price while which changed in the same tendency and speed in the long-term.Cotton futures price is the main reason for the changing of Xinsai share stock price.The lead-lag relationship in changing course had been confirmed that existed between ZCE cotton futures price and the Xinsai share stock price.Meanwhile,the forward pass mechanism of price changing information had been found only from the ZCE cotton futures market to the stock market while showing asymmetry.Conclusions of the study can be used for cotton and related corporate to hedge business risks by the cotton price changes.
A Globally Convergent Polak-Ribière-Polyak Conjugate Gradient Method with Armijo-Type Line Search
Gaohang Yu; Lutai Guan; Zengxin Wei
2006-01-01
In this paper, we propose a globally convergent Polak-Ribière-Polyak (PRP)conjugate gradient method for nonconvex minimization of differentiable functions by employing an Armijo-type line search which is simpler and less demanding than those defined in [4,10]. A favorite property of this method is that we can choose the initial stepsize as the one-dimensional minimizer of a quadratic model Φ(t):= f(xk)+tgTkdk+1/2t2dTkQkdk, where Qk is a positive definite matrix that carries some second order information of the objective function f. So, this line search may make the stepsize tk more easily accepted. Preliminary numerical results show that this method is efficient.
Kang, Shu Gang
2013-01-01
The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and develops a practical solution to production planning and scheduling problems. To simplify implementation, a reusable software platform is developed to build the MABBS method into a generic computation engine. This engine is integrated with a script language, called the Embedded Extensible Application Script Language (EXASL), to provide a flexible and straightforward approach to representing complex real-world problems. ...
A GARCH option pricing model with filtered historical simulation
Mancini, Loriano; Barone-Adesi, Giovanni; Engle, Robert
2008-01-01
We propose a new method for pricing options based on GARCH models with filtered historical innovaions. In an incomplete market framework, we allow for different distributions of historical and pricing return dynamics, which enhances the model’s flexibility to fit market option prices. An extensive empirical analysis based on S&P 500 Index options shows that our model outperforms other competing GARCH pricing models and ad hoc Black–Scholes models. We show that the flexible change of me...
Modeling UK Natural Gas Prices when Gas Prices Periodically Decouple from the Oil Price
2015-01-01
When natural gas prices are subject to periodic decoupling from oil prices, for instance due to peak-load pricing, conventional linear models of price dynamics such as the Vector Error Correction Model (VECM) can lead to erroneous inferences about cointegration relationships, price adjustments and relative values. We propose the use of regime-switching models to address these issues. Our regime switching model uses price data to infer whether pricing is oil-driven (integrated) or gas-specific...
Compound Option Pricing under Fuzzy Environment
Xiandong Wang
2014-01-01
Full Text Available Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this paper, fuzzy sets theory is applied to model the imprecise input parameters (interest rate and volatility. We present the fuzzy price of compound option by fuzzing the interest and volatility in Geske’s compound option pricing formula. For each α, the α-level set of fuzzy prices is obtained according to the fuzzy arithmetics and the definition of fuzzy-valued function. We apply a defuzzification method based on crisp possibilistic mean values of the fuzzy interest rate and fuzzy volatility to obtain the crisp possibilistic mean value of compound option price. Finally, we present a numerical analysis to illustrate the compound option pricing under fuzzy environment.
Price learning during grocery shopping
Jensen, Birger Boutrup
Many attempts have been made to measure consumers' price knowledge for groceries. However, the results have varied considerably and conflict with results of reference price research. This is the first study to examine price knowledge before, during, and after store visit, thus enabling a study...... of what consumers learn about prices during grocery shopping. Three measures of price knowledge corresponding to different levels of price information processing were applied. Results indicate that price learning does take place and that episodic price knowledge after store exit is far more widespread...... than expected. Consequently, a new view of how consumer price knowledge evolves during grocery shopping is presented....
Price Limit, Superior Information and Investor Behavior: Evidence from China Stock Market
FAN Li-min; LONG Zheng-ping; ZHU Bao-jun
2007-01-01
The mechanism of price limit impacts on informed traders' behavior. To find out what effects related to price limit, three hypotheses caused by price limit are analyzed.Comprehensive method of event study and comparative grouping is used to test the performance of price limit in Chinese stock market. The result of test indicates that price limit policy impedes fulfillment of traders and delays the discovery of stock price so it should be abolished.
Price Discrimination in Academic Journals.
Joyce, Patrick; Merz, Thomas E.
1985-01-01
Analysis of price discrimination (charging different prices to different customers for same product) for 89 academic journals in 6 disciplines reveals: incidence of price discrimination rose between 1974 and 1984, increase in mean institutional (library) subscription price exceeded increase in mean individual subscription price. Journal list…
An Interactive Iterative Method for Electronic Searching of Large Literature Databases
Hernandez, Marco A.
2013-01-01
PubMed® is an on-line literature database hosted by the U.S. National Library of Medicine. Containing over 21 million citations for biomedical literature--both abstracts and full text--in the areas of the life sciences, behavioral studies, chemistry, and bioengineering, PubMed® represents an important tool for researchers. PubMed® searches return…
Methods for Documenting Systematic Review Searches: A Discussion of Common Issues
Rader, Tamara; Mann, Mala; Stansfield, Claire; Cooper, Chris; Sampson, Margaret
2014-01-01
Introduction: As standardized reporting requirements for systematic reviews are being adopted more widely, review authors are under greater pressure to accurately record their search process. With careful planning, documentation to fulfill the Preferred Reporting Items for Systematic Reviews and Meta-Analyses requirements can become a valuable…
Innovations in Statistical Observations of Consumer Prices
Olga Stepanovna Oleynik
2016-10-01
Full Text Available This article analyzes the innovative changes in the methodology of statistical surveys of consumer prices. These changes are reflected in the “Official statistical methodology for the organization of statistical observation of consumer prices for goods and services and the calculation of the consumer price index”, approved by order of the Federal State Statistics Service of December 30, 2014 no. 734. The essence of innovation is the use of mathematical methods in determining the range of studies objects of trade and services, in calculating the sufficient observable price quotes based on price dispersion, the proportion of the observed product (service, a representative of consumer spending, as well as the indicator of the complexity of price registration. The authors analyzed the mathematical calculations of the required number of quotations for observation in the Volgograd region in 2016, the results of calculations are compared with the number of quotes included in the monitoring. The authors believe that the implementation of these mathematical models allowed to substantially reduce the influence of the subjective factor in the organization of monitoring of consumer prices, and therefore to increase the objectivity of the resulting statistics on consumer prices and inflation. At the same time, the proposed methodology needs further improvement in terms of payment for goods, products (services by representatives having a minor share in consumer expenditure.
Unit Price Scaling Trends for Chemical Products
Qi, Wei [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sathre, Roger [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Morrow, III, William R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Shehabi, Arman [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
2015-08-01
To facilitate early-stage life-cycle techno-economic modeling of emerging technologies, here we identify scaling relations between unit price and sales quantity for a variety of chemical products of three categories - metal salts, organic compounds, and solvents. We collect price quotations for lab-scale and bulk purchases of chemicals from both U.S. and Chinese suppliers. We apply a log-log linear regression model to estimate the price discount effect. Using the median discount factor of each category, one can infer bulk prices of products for which only lab-scale prices are available. We conduct out-of-sample tests showing that most of the price proxies deviate from their actual reference prices by a factor less than ten. We also apply the bootstrap method to determine if a sample median discount factor should be accepted for price approximation. We find that appropriate discount factors for metal salts and for solvents are both -0.56, while that for organic compounds is -0.67 and is less representative due to greater extent of product heterogeneity within this category.
Research on nonlinear stochastic dynamical price model
Li Jiaorui [Department of Applied Mathematics, Northwestern Polytechnical University, Xi' an 710072 (China); School of Statistics, Xi' an University of Finance and Economics, Xi' an 710061 (China)], E-mail: jiaoruili@mail.nwpu.edu.cn; Xu Wei; Xie Wenxian; Ren Zhengzheng [Department of Applied Mathematics, Northwestern Polytechnical University, Xi' an 710072 (China)
2008-09-15
In consideration of many uncertain factors existing in economic system, nonlinear stochastic dynamical price model which is subjected to Gaussian white noise excitation is proposed based on deterministic model. One-dimensional averaged Ito stochastic differential equation for the model is derived by using the stochastic averaging method, and applied to investigate the stability of the trivial solution and the first-passage failure of the stochastic price model. The stochastic price model and the methods presented in this paper are verified by numerical studies.
Oil prices and the stock prices of alternative energy companies
Henriques, Irene; Sadorsky, Perry [Schulich School of Business, 4700 Keele Street, Toronto, Ontario (Canada)
2008-05-15
Energy security issues coupled with increased concern over the natural environment are driving factors behind oil price movements. While it is widely accepted that rising oil prices are good for the financial performance of alternative energy companies, there has been relatively little statistical work done to measure just how sensitive the financial performance of alternative energy companies are to changes in oil prices. In this paper, a four variable vector autoregression model is developed and estimated in order to investigate the empirical relationship between alternative energy stock prices, technology stock prices, oil prices, and interest rates. Our results show technology stock prices and oil prices each individually Granger cause the stock prices of alternative energy companies. Simulation results show that a shock to technology stock prices has a larger impact on alternative energy stock prices than does a shock to oil prices. These results should be of use to investors, managers and policy makers. (author)
Adhy Listya Paramitha
2014-01-01
Full Text Available The purposes of this study were to determine fair share value, to analyze the factors that influence undervalue and overvalue, and to determine the best valuation method. This study made valuation using real options method and free cash flow to firm method. The results of partial logistic regression on Free Cash Flow to Firm showed that tenor variable and equity variable had positive and significant effects, while dummy variable had a negative and significant effect. In the real option model, tenor variable and implied volatility variable had positive and significant effects, while sheets of share variable had a negative and significant effect
Consumers Networks and Search Equilibria
A. Galeotti
2004-01-01
textabstractI examine a search model a la' Burdett and Judd (1983). Consumers are embedded in a consumers network, they may costly search for price quotations and the information gathered are non-excludable along direct links. This allows me to explore the effect of endogenous consumers externalitie
Gjedsted Nielsen, Mads
This paper is the first to consider a large scale natural experiment to estimate the effect of taxes on house prices. We find that a 1 percentage-point increase in income tax rates lead to a drop in house prices of at most 2.2%. This corresponds to a tax capitalization for the average household o...
Manufacturer's Suggested Retail Prices
Rosenkranz, S.
2003-01-01
Based on arguments of the `reference- dependent' theory of consumer choice we assume that a retailer's discount of a manufacturer's suggested retail price changes consumers' demand. We can show that the producer benefits from suggesting a retail price. If consumers are additionally sufficiently `los
Poverty and price transmission
Elleby, Christian
A key parameter determining the welfare impact from a world market shock is the transmission elasticity which measures the average domestic response to an international price change. Many studies have estimated price transmission elasticities for a large number of countries but the variation in t...
无
2007-01-01
@@ As was projected in the third-quarter monetary policy implementation report published by the People's Bank of China on November 15th, 2006, the residents' consumption price index in China would reach 1.5% in 2006. Prices of consumer commodities such as water, power and natural gas would rise and the pressure of inflation would persist in the future.
2010-01-01
@@ Cotton prices have received a lot of attention recently.Cotton Incorporated especically designed this Special Edition of Supply Chain Insights to frame the discussion concerning prices throughout the cotton supply chain in terms of the cyclical events that contributed to recent volatility and how a return to long-term averages over time can be expected.
Nazliben, Kamil
2015-01-01
The dissertation consists of three chapters that represent separate papers in the area of asset pricing. The ﬁrst chapter studies investors optimal asset allocation problem in which mean reversion in stock prices is captured by explicitly modeling transitory and permanent shocks. The second chapter
Suharsono; Nurdian, S. W.; Palupi, I. R.
2016-11-01
Relocating hypocenter is a way to improve the velocity model of the subsurface. One of the method is Grid Search. To perform the distribution of the velocity in subsurface by tomography method, it is used the result of relocating hypocenter to be a reference for subsurface analysis in volcanic and major structural patterns, such as in Central Java. The main data of this study is the earthquake data recorded from 1952 to 2012 with the P wave number is 9162, the number of events is 2426 were recorded by 30 stations located in the vicinity of Central Java. Grid search method has some advantages they are: it can relocate the hypocenter more accurate because this method is dividing space lattice model into blocks, and each grid block can only be occupied by one point hypocenter. Tomography technique is done by travel time data that has had relocated with inversion pseudo bending method. Grid search relocated method show that the hypocenter's depth is shallower than before and the direction is to the south, the hypocenter distribution is modeled into the subduction zone between the continent of Eurasia with the Indo-Australian with an average angle of 14 °. The tomography results show the low velocity value is contained under volcanoes with value of -8% to -10%, then the pattern of the main fault structure in Central Java can be description by the results of tomography at high velocity that is from 8% to 10% with the direction is northwest and northeast-southwest.
An annual quasidifference approach to water price elasticity
Bell, David R.; Griffin, Ronald C.
2008-08-01
The preferred price specification for retail water demand estimation has not been fully settled by prior literature. Empirical consistency of price indices is necessary to enable testing of competing specifications. Available methods of unbiasing the price index are summarized here. Using original rate information from several hundred Texas utilities, new indices of marginal and average price change are constructed. Marginal water price change is shown to explain consumption variation better than average water price change, based on standard information criteria. Annual change in quantity consumed per month is estimated with differences in climate variables and the new quasidifference marginal price index. As expected, the annual price elasticity of demand is found to vary with daily high and low temperatures and the frequency of precipitation.
Price Formation by Bargaining and Posted Prices
Kultti, K.K.
1997-01-01
We study markets with two types of agents. Sellers have an indivisible good for sale, and their reservation value is zero. Buyers are randomly matched with sellers, and they value the good at unity. Sellers may be matched with any positive number of buyers, and they may choose to determine the price
Spot Pricing When Lagrange Multipliers Are Not Unique
Feng, Donghan; Xu, Zhao; Zhong, Jin
2012-01-01
Classical spot pricing theory is based on multipliers of the primal problem of an optimal market dispatch, i.e., the solution of the dual problem. However, the dual problem of market dispatch may yield multiple solutions. In these circumstances, spot pricing or any standard pricing practice based...... on multipliers cannot generate a unique clearing price. Although such situations are rare, they can cause significant uncertainties and complexities in market dispatch. In practice, this situation is solved through simple empirical methods, which may cause additional operations or biased allocation. Based...... the results of the theoretical analysis, and further demonstrate that the method performs effectively in both uniform-pricing and nodalpricing markets....
Xiaokui Yue
2014-01-01
Full Text Available A numerical approach for obtaining periodic orbits of satellite relative motion is proposed, based on using the time domain collocation (TDC method to search for the periodic solutions of an exact J2 nonlinear relative model. The initial conditions for periodic relative orbits of the Clohessy-Wiltshire (C-W equations or Tschauner-Hempel (T-H equations can be refined with this approach to generate nearly bounded orbits. With these orbits, a method based on the least-squares principle is then proposed to generate projected closed orbit (PCO, which is a reference for the relative motion control. Numerical simulations reveal that the presented TDC searching scheme is effective and simple, and the projected closed orbit is very fuel saving.
ALTERNATE PRICING STRATEGIES IN CONSTRUCTION
Krishna Mochtar
2000-01-01
Full Text Available Recent research findings on pricing strategies both in general and in construction are reviewed and explored. First%2C pricing strategy in general%2C mostly in the manufacturing industry%2C is reviewed. It includes the concepts of pricing strategy%2C predatory pricing%2C price wars%2C and price policy development. Second%2C pricing strategy in construction is explored. It includes various pricing models for bid price determination%2C such as the Friedman-Gates models%2C expected utility models%2C risk-pricing model%2C and the crew-day%2C multiple regression%2C and fuzzy-set pricing models. In conclusion%2C pricing strategies in construction are still predominantly based on a cost-based approach. More recent models try to close the gap between the models and the real life conditions of a bidder%5C%27s decision-making process. It appears that there are more problems in cost-based pricing as opposed to market-based pricing. Consequently%2C it is highly recommended that%2C alternative pricing approach such as that are closer to the proposed market-based pricing model need to be explored and developed for use in the construction industry. Abstract in Bahasa Indonesia : Pricing+strategy%2C+cost-based+pricing%2C+market-based+pricing.
Method of the bond pricing and the market price of the interest rate risk%债券定价及利率风险的市场价格的重构方法
林杨; 谭永基
2011-01-01
Assume that the interest rate fluctuating model is given by the stochastic differential equations,then we can use the derivation for Black-Scholes equation to deduce a parabolic partial differential equation which satisfies the bond prices.But the bond pr%假设利率变化的模型是由随机微分方程给出,则可以用推导Black-Scholes方程的方法来推出债券价格满足的偏微分方程,得到一个抛物型的偏微分方程.但是,在债券定价的方程中隐含有一个参数λ称为利率风险的市场价格.所谓债券定价的反问题,就是由不同到期时间的债券的现在价格来得到利率风险的市场价格.对随机利率模型下债券定价的正问题先给予介绍和差分数值求解方法,并介绍了反问题,且对反问题给出了数值方法.
7 CFR 1030.50 - Class prices, component prices, and advanced pricing factors.
2010-01-01
... 7 Agriculture 9 2010-01-01 2009-01-01 true Class prices, component prices, and advanced pricing factors. 1030.50 Section 1030.50 Agriculture Regulations of the Department of Agriculture (Continued... prices, and advanced pricing factors. See § 1000.50....
Tyteca, Eva; Liekens, Anuschka; Clicq, David; Fanigliulo, Ameriga; Debrus, Benjamin; Rudaz, Serge; Guillarme, Davy; Desmet, Gert
2012-09-18
We report on the possibilities of a new method development (MD) algorithm that searches the chromatographic parameter space by systematically shifting and stretching the elution window over different parts of the time-axis. In this way, the search automatically focuses on the most promising areas of the solution space. Since only the retention properties of the first and last eluting compounds of the sample need to be (approximately) known, the algorithm can be directly applied to samples with unknown composition, and the proposed solutions are not sensitive to any modeling errors. The search efficiency of the algorithm has been evaluated on an extensive set of random-generated in silico samples covering a broad range of different retention properties. Compared to a pure grid-based search, the algorithm could reduce the number of missed components by 50% and more. The algorithm has also been applied to solve three different real-world separation problems from the pharmaceutical industry. All problems could be successfully solved in a very short time (order of 12 h of instrument time).
Hiroyasu, Tomoyuki; Miyabe, Yota; Yokouchi, Hisatake
2011-01-01
Here, we propose a training data selection method using a Support Vector Machine (SVM) to predict the effects of anticancer drugs. Conventionally, SVM is used for distinguishing between several types of data. However, in the method proposed here, the SVM is used to distinguish areas with only one or two types of data. The proposed method treats training data selection as an optimization problem and involves application of a genetic algorithm (GA). Moreover, GA with local search was applied to find the solution as the target problem was difficult to find. The composition method of GA for proposed method was examined. To determine its effectiveness, the proposed method was applied to an artificial anticancer drug data set. The verification results showed that the proposed method can be used to create a verifiable and predictable discriminant function by training data selection.
Li, Xiang-Tao; Yin, Ming-Hao
2012-05-01
We study the parameter estimation of a nonlinear chaotic system, which can be essentially formulated as a multidimensional optimization problem. In this paper, an orthogonal learning cuckoo search algorithm is used to estimate the parameters of chaotic systems. This algorithm can combine the stochastic exploration of the cuckoo search and the exploitation capability of the orthogonal learning strategy. Experiments are conducted on the Lorenz system and the Chen system. The proposed algorithm is used to estimate the parameters for these two systems. Simulation results and comparisons demonstrate that the proposed algorithm is better or at least comparable to the particle swarm optimization and the genetic algorithm when considering the quality of the solutions obtained.
A Survey of Data Management System for Cloud Computing: Models and Searching Methods
Linhua Zhou
2013-06-01
Full Text Available At present, the research of data storage and management in cloud computing mainly focuses on dealing with data expression and search. This study gives a comprehensive survey of numerous models and approaches of data-intensive applications in cloud computing in both academic and industrial communities. We review various approaches and their ideas of design. And then, we attempt to summarize and appraise the open issues.
Price-Transparency and Cost Accounting
Peter Hilsenrath PhD
2015-04-01
Full Text Available Health care reform is directed toward improving access and quality while containing costs. An essential part of this is improvement of pricing models to more accurately reflect the costs of providing care. Transparent prices that reflect costs are necessary to signal information to consumers and producers. This information is central in a consumer-driven marketplace. The rapid increase in high deductible insurance and other forms of cost sharing incentivizes the search for price information. The organizational ability to measure costs across a cycle of care is an integral component of creating value, and will play a greater role as reimbursements transition to episode-based care, value-based purchasing, and accountable care organization models. This article discusses use of activity-based costing (ABC to better measure the cost of health care. It describes examples of ABC in health care organizations and discusses impediments to adoption in the United States including cultural and institutional barriers.
Open Automated Demand Response Dynamic Pricing Technologies and Demonstration
Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Koch, Ed; Hennage, Dan
2010-08-02
This study examines the use of OpenADR communications specification, related data models, technologies, and strategies to send dynamic prices (e.g., real time prices and peak prices) and Time of Use (TOU) rates to commercial and industrial electricity customers. OpenADR v1.0 is a Web services-based flexible, open information model that has been used in California utilities' commercial automated demand response programs since 2007. We find that data models can be used to send real time prices. These same data models can also be used to support peak pricing and TOU rates. We present a data model that can accommodate all three types of rates. For demonstration purposes, the data models were generated from California Independent System Operator's real-time wholesale market prices, and a California utility's dynamic prices and TOU rates. Customers can respond to dynamic prices by either using the actual prices, or prices can be mapped into"operation modes," which can act as inputs to control systems. We present several different methods for mapping actual prices. Some of these methods were implemented in demonstration projects. The study results demonstrate show that OpenADR allows interoperability with existing/future systems/technologies and can be used within related dynamic pricing activities within Smart Grid.
A Comparison of Local Search Methods for the Multicriteria Police Districting Problem on Graph
F. Liberatore
2016-01-01
Full Text Available In the current economic climate, law enforcement agencies are facing resource shortages. The effective and efficient use of scarce resources is therefore of the utmost importance to provide a high standard public safety service. Optimization models specifically tailored to the necessity of police agencies can help to ameliorate their use. The Multicriteria Police Districting Problem (MC-PDP on a graph concerns the definition of sound patrolling sectors in a police district. The objective of this problem is to partition a graph into convex and continuous subsets, while ensuring efficiency and workload balance among the subsets. The model was originally formulated in collaboration with the Spanish National Police Corps. We propose for its solution three local search algorithms: a Simple Hill Climbing, a Steepest Descent Hill Climbing, and a Tabu Search. To improve their diversification capabilities, all the algorithms implement a multistart procedure, initialized by randomized greedy solutions. The algorithms are empirically tested on a case study on the Central District of Madrid. Our experiments show that the solutions identified by the novel Tabu Search outperform the other algorithms. Finally, research guidelines for future developments on the MC-PDP are given.
Invisible dark gauge boson search in top decays using a kinematic method
Kim, Doojin; Park, Myeonghun
2015-01-01
We discuss the discovery potential of a dark force carrier ($Z'$) of very light mass, $m_{Z'} \\lesssim {\\cal O}(1-10)$ GeV, at hadron colliders via rare top quark decays, especially when it decays invisibly in typical search schemes. We emphasize that the top sector is promising for the discovery of new particles because top quark pairs are copiously produced at the Large Hadron Collider. The signal process is initiated by a rare top decay into a bottom quark and a charged Higgs boson ($H^\\pm$) decaying subsequently into a $W$ and one or multiple $Z'$s. The light $Z'$ can be invisible in collider searches in various scenarios, and it would be hard to distinguish the relevant collider signature from the regular $t\\bar{t}$ process in the Standard Model. We suggest a search strategy using the recently proposed on-shell constrained $M_2$ variables. Our signal process is featured by an $\\textit{asymmetric}$ event topology, while the $t\\bar{t}$ is $\\textit{symmetric}$. The essence behind the strategy is to evoke so...
A Framework for Price Statistics
Kimberly D. Zieschang
2000-01-01
This paper describes the primary framework associating the four principal price indices in the system of economic statistics—the Producer Price Index (PPI), the Consumer Price Index (CPI), and the Export and Import Price Indices (XPI and MPI)—with the macroeconomic value aggregates they decompose into price and volume components. The paper begins by defining the basic algebra of price indices. It then discusses the definition of the value aggregates comprising the goods and services component...
Asset Pricing - A Brief Review
Li, Minqiang
2010-01-01
I first introduce the early-stage and modern classical asset pricing and portfolio theories. These include: the capital asset pricing model (CAPM), the arbitrage pricing theory (APT), the consumption capital asset pricing model (CCAPM), the intertemporal capital asset pricing model (ICAPM), and some other important modern concepts and techniques. Finally, I discuss the most recent development during the last decade and the outlook in the field of asset pricing.
Zaheer Ud Din Babar
2007-03-01
Full Text Available BACKGROUND: Malaysia's stable health care system is facing challenges with increasing medicine costs. To investigate these issues a survey was carried out to evaluate medicine prices, availability, affordability, and the structure of price components. METHODS AND FINDINGS: The methodology developed by the World Health Organization (WHO and Health Action International (HAI was used. Price and availability data for 48 medicines was collected from 20 public sector facilities, 32 private sector retail pharmacies and 20 dispensing doctors in four geographical regions of West Malaysia. Medicine prices were compared with international reference prices (IRPs to obtain a median price ratio. The daily wage of the lowest paid unskilled government worker was used to gauge the affordability of medicines. Price component data were collected throughout the supply chain, and markups, taxes, and other distribution costs were identified. In private pharmacies, innovator brand (IB prices were 16 times higher than the IRPs, while generics were 6.6 times higher. In dispensing doctor clinics, the figures were 15 times higher for innovator brands and 7.5 for generics. Dispensing doctors applied high markups of 50%-76% for IBs, and up to 316% for generics. Retail pharmacy markups were also high-25%-38% and 100%-140% for IBs and generics, respectively. In the public sector, where medicines are free, availability was low even for medicines on the National Essential Drugs List. For a month's treatment for peptic ulcer disease and hypertension people have to pay about a week's wages in the private sector. CONCLUSIONS: The free market by definition does not control medicine prices, necessitating price monitoring and control mechanisms. Markups for generic products are greater than for IBs. Reducing the base price without controlling markups may increase profits for retailers and dispensing doctors without reducing the price paid by end users. To increase access and
Babar, Zaheer Ud Din; Ibrahim, Mohamed Izham Mohamed; Singh, Harpal; Bukahri, Nadeem Irfan; Creese, Andrew
2007-01-01
Background Malaysia's stable health care system is facing challenges with increasing medicine costs. To investigate these issues a survey was carried out to evaluate medicine prices, availability, affordability, and the structure of price components. Methods and Findings The methodology developed by the World Health Organization (WHO) and Health Action International (HAI) was used. Price and availability data for 48 medicines was collected from 20 public sector facilities, 32 private sector retail pharmacies and 20 dispensing doctors in four geographical regions of West Malaysia. Medicine prices were compared with international reference prices (IRPs) to obtain a median price ratio. The daily wage of the lowest paid unskilled government worker was used to gauge the affordability of medicines. Price component data were collected throughout the supply chain, and markups, taxes, and other distribution costs were identified. In private pharmacies, innovator brand (IB) prices were 16 times higher than the IRPs, while generics were 6.6 times higher. In dispensing doctor clinics, the figures were 15 times higher for innovator brands and 7.5 for generics. Dispensing doctors applied high markups of 50%–76% for IBs, and up to 316% for generics. Retail pharmacy markups were also high—25%–38% and 100%–140% for IBs and generics, respectively. In the public sector, where medicines are free, availability was low even for medicines on the National Essential Drugs List. For a month's treatment for peptic ulcer disease and hypertension people have to pay about a week's wages in the private sector. Conclusions The free market by definition does not control medicine prices, necessitating price monitoring and control mechanisms. Markups for generic products are greater than for IBs. Reducing the base price without controlling markups may increase profits for retailers and dispensing doctors without reducing the price paid by end users. To increase access and affordability
Guangyu Chen
2014-01-01
Full Text Available An improved differential evolution (DE method based on the dynamic search strategy (IDEBDSS is proposed to solve dynamic economic dispatch problem with valve-point effects in this paper. The proposed method combines the DE algorithm with the dynamic search strategy, which improves the performance of the algorithm. DE is the main optimizer in the method proposed. While chaotic sequences are applied to obtain the dynamic parameter settings in DE, dynamic search strategy which consists of two steps, global search strategy and local search strategy, is used to improve algorithm efficiency. To accelerate convergence, a new infeasible solution handing method is adopted in the local search strategy; meanwhile, an orthogonal crossover (OX operator is added to the global search strategy to enhance the optimization search ability. Finally, the feasibility and effectiveness of the proposed methods are demonstrated by three test systems, and the simulation results reveal that the IDEBDSS method can obtain better solutions with higher efficiency than the standard DE and other methods reported in the recent literature.
Dharmawan, Komang
2017-03-01
It has been claimed in many literatures that the prices of some agriculture commodities tend to follow mean reversion. However, when dealing with the prices of agriculture commodities, is mean-reversion realistic enough without incorporating seasonality and jump diffusion? This research tries to answer the question. The combination between mean-reversion feature, jump and seasonal components are applied to model the behavior of agriculture commodity prices. A jump and seasonal components are added to the standard mean-reverting process in order to reproduce the spiky or jump behaviors. This model has been well applied on simulating the electricity prices but it has not been applied to investigate the behavior of agriculture commodity prices yet. This paper discusses the performance of the model when it is used to price European call options. First, the deterministic seasonality part is calibrated using the least square method. The second stage is to calibrate the stochastic part based on historical prices. The parameters are calibrated by discretizing the model. Hence, the discretized model allows us to perform Monte Carlo simulation on the commodity price under real-word probability. The analysis is conducted using 2 future price of Crude Palm Oil and Coffee Bean on standard payoff functions, a Basket, a Spread, Best of Call, and Worst of Call Options.
Tourism Equilibrium Price Trends
Mohammad Mohebi
2012-01-01
Full Text Available Problem statement: A review of the tourism history shows that tourism as an industry was virtually unknown in Malaysia until the late 1960s. Since then, it has developed and grown into a major industry, making an important contribution to the country's economy. By allocating substantial funds to the promotion of tourism and the provision of the necessary infrastructure, the government has played an important role in the impressive progress of the Malaysian tourism industry. One of the important factors which can attract tourists to Malaysia is the tourism price. Has the price of tourism decreased? To answer this question, it is necessary to obtain the equilibrium prices as well as the yearly trend for Malaysia during the sample period as it will be useful for analysis of the infrastructure situation of the tourism industry in this country. The purpose of the study is to identify equilibrium tourism price trends in Malaysian tourism market. Approach: We use hotel room as representative of tourism market. Quarterly data from 1995-2009 are used and a dynamic model of simultaneous equation is employed. Results: Based on the result during the period of 1995 until 2000, the growth rate of the equilibrium price was greater than consumer price index and producer price index. Conclusion: In the Malaysian tourism market, new infrastructure during this period had not been developed to keep pace with tourist arrivals.
Lee, Bruce Y; McGlone, Sarah M
2010-08-01
New vaccine pricing is a complicated process that could have substantial long-standing scientific, medical, and public health ramifications. Pricing can have a considerable impact on new vaccine adoption and, thereby, either culminate or thwart years of research and development and public health efforts. Typically, pricing strategy consists of the following ten components: 1. Conduct a target population analysis; 2. Map potential competitors and alternatives; 3. Construct a vaccine target product profile (TPP) and compare it to projected or actual TPPs of competing vaccines; 4. Quantify the incremental value of the new vaccine's characteristics; 5. Determine vaccine positioning in the marketplace; 6. Estimate the vaccine price-demand curve; 7. Calculate vaccine costs (including those of manufacturing, distribution, and research and development); 8. Account for various legal, regulatory, third party payer, and competitor factors; 9. Consider the overall product portfolio; 10. Set pricing objectives; 11. Select pricing and pricing structure. While the biomedical literature contains some studies that have addressed these components, there is still considerable room for more extensive evaluation of this important area.
Sodhi, ManMohan S; Sodhi, Navdeep S
2005-05-01
Many companies are now good at managing costs and wringing out manufacturing efficiencies. The TQM movement and the disciplines of Six Sigma have seen to that. But the discipline so often brought to the cost side of the business equation is found far less commonly on the revenue side. The authors describe how a global manufacturer of industrial equipment, which they call Acme Incorporated, recently applied Six Sigma to one major revenue related activity--the price-setting process. It seemed to Acme's executives that pricing closely resembled many manufacturing processes. So, with the help of a Six Sigma black belt from manufacturing, a manager from Acme's pricing division recruited a team to carry out the five Six Sigma steps: Define what constitutes a defect. At Acme, a defect was an item sold at an unauthorized price. Gather data and prepare it for analysis. That involved mapping out the existing pricing-agreement process. Analyze the data. The team identified the ways in which people failed to carry out or assert effective control at each stage. Recommend modifications to the existing process. The team sought to decrease the number of unapproved prices without creating an onerous approval apparatus. Create controls. This step enabled Acme to sustain and extend the improvements in its pricing procedures. As a result of the changes, Acme earned dollar 6 million in additional revenue on one product line alone in the six months following implementation--money that went straight to the bottom line. At the same time, the company removed much of the organizational friction that had long bedeviled its pricing process. Other companies can benefit from Acme's experience as they look for ways to exercise price control without alienating customers.
Recent oil price shock and Tunisian economy
Jbir, Rafik; Zouari-Ghorbel, Sonia [MO.DEV.I 99/UR/0624, Department of Economics, University of Management and Economic Sciences of Sfax, Street of Airport km 4.5, LP 1088, 3018 Sfax (Tunisia)
2009-03-15
The objective of this paper is to study the oil prices-macroeconomy relationship by the analysis of the role of subsidy policy. The vector autoregression (VAR) method was employed to analyze the data over the period 1993 Q1 - 2007 Q3. The results of the model using both linear and non-linear specifications indicate that there is no direct impact of oil price shock on the economic activity. The shock of oil prices affects economic activity indirectly. The most significant channel by which the effects of the shock are transmitted is the government's spending. (author)
INTERACTION OF MACROECONOMIC VARIABLES WITH STOCK PRICES
ALİ ÖZER
2013-06-01
Full Text Available The aim of this study is to determine whether there is a relationship between ISE 100 Index and some macroeconomic variables by using monthly data of January 1996 – December 2009. ISE 100 Index was used as dependent variable and interest rates, money supply, foreign trade equilibrium, industrial production index, gold prices, exchange rates, consumer price index were used as independent variables. Least squares estimation method, Johansen-Jeselius cointegration test, Granger causality test and variance decomposition results produced by VEC model were used in the study. These analysis show that there is a long run relationship between some macroeconomic variables and stock prices.
Poverty and price transmission
Elleby, Christian
A key parameter determining the welfare impact from a world market shock is the transmission elasticity which measures the average domestic response to an international price change. Many studies have estimated price transmission elasticities for a large number of countries but the variation in t...... growth but the relationship is less significant. The finding that food prices in middle-income countries increased the most during the food crises is a cause for concern in light of the fact that the majority of the world's poor today live in middle-income countries....
Pasaribu, Rowland Bismark Fernando
2010-01-01
The Capital Asset Pricing Model (CAPM) has dominated finance theory for over thirty years; it suggests that the market beta alone is sufficient to explain stock returns. However evidence shows that the cross-section of stock returns cannot be described solely by the one-factor CAPM. Therefore, the idea is to add other factors in order to complete the beta in explaining the price movements in the stock exchange. The Arbitrage Pricing Theory (APT) has been proposed as the first multifactor succ...