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Sample records for unit title multivariate

  1. An Adaptive Multivariable Control System for Hydroelectric Generating Units

    Directory of Open Access Journals (Sweden)

    Gunne J. Hegglid

    1983-04-01

    Full Text Available This paper describes an adaptive multivariable control system for hydroelectric generating units. The system is based on a detailed mathematical model of the synchronous generator, the water turbine, the exiter system and turbine control servo. The models of the water penstock and the connected power system are static. These assumptions are not considered crucial. The system uses a Kalman filter for optimal estimation of the state variables and the parameters of the electric grid equivalent. The multivariable control law is computed from a Riccatti equation and is made adaptive to the generators running condition by means of a least square technique.

  2. Multivariable Control and Online State Estimation of an FCC Unit

    Directory of Open Access Journals (Sweden)

    A. T. Boum

    2015-10-01

    Full Text Available The purpose of this paper is to realize multivariable control , tuning and online state estimation of some parameters of the FCC unit . We implemented two control structures with the manipulated variables being the air inlet flow rate in the regenerator, the regenerated catalyst flow rate and the feed flow rate and, the controlled variable being the temperatures in the riser and in the densed bed of the regenerator. A novel four transfer function is built and used for controllability studies. Hard constraints are imposed with respect to the manipulated variables. Simulation results show that the configuration made of two inputs and two outputs is more easy to tune for control purposes. Althought there are important dynamic interactions between the components of the FCC and important nonlinearities, linear model predictive control is able to maintain a smooth multivariable control of the plant, while taking into account the different constraints. Tuning strategy is implemented to improve the tracking of the set point. Online state estimation is carried out with the use of the extended Kalman filter. The estimation gives results that can be used for monitoring purposes even in the presence of model mismatch.

  3. 76 FR 22003 - Delegation of Functions and Authority Under Sections 315 and 325 of Title 32, United States Code

    Science.gov (United States)

    2011-04-20

    ... 325 of Title 32, United States Code Memorandum for the Secretary of Defense By the authority vested in... 301 of title 3, United States Code, I hereby delegate to you: (a) the functions and authority of the President contained in section 315 of title 32, United States Code, to permit a commissioned officer of...

  4. 78 FR 37921 - Delegation of Reporting Functions Specified in Section 491 of Title 10, United State Code

    Science.gov (United States)

    2013-06-24

    ... Specified in Section 491 of Title 10, United States Code Notice of June 20, 2013--Continuation of the... Reporting Functions Specified in Section 491 of Title 10, United State Code Memorandum for the Secretary of... of America, including section 301 of title 3 of the United States Code, I hereby delegate to you...

  5. 78 FR 37923 - Delegation of Reporting Functions Specified in Section 491 of Title 10, United State Code

    Science.gov (United States)

    2013-06-24

    ... Specified in Section 491 of Title 10, United States Code Notice of June 20, 2013--Continuation of the... Reporting Functions Specified in Section 491 of Title 10, United State Code Memorandum for the Secretary of... of America, including section 301 of title 3 of the United States Code, I hereby delegate to you...

  6. Fear of Crime in the United States: A Multivariate Analysis

    Science.gov (United States)

    Clemente, Frank; Kleiman, Michael B.

    1977-01-01

    Multivariate Nominal Scale Analysis (MNA) was used to assess the independent ability of each variable to predict respondents who indicated a fear of crime (42 percent) and those who did not (58 percent). (Author/AM)

  7. Mobile Units Supplementing Education (M.U.S.E.). Evaluation, ESEA Title III, Fiscal Year 1970.

    Science.gov (United States)

    Dodge County Schools, Fremont, NE.

    A project in Dodge County, Nebraska, from July 1, 1969, to June 30, 1970, used Mobile Units Supplementing Education (MUSE) under an Elementary and Secondary Education Act Title III grant. The primary objective of the pilot project and the operational grant was to demonstrate and explore the possibilities of bringing special and supplemental units…

  8. New multi-country evidence on purchasing power parity: multivariate unit root test results

    NARCIS (Netherlands)

    J.J.J. Groen (Jan)

    2000-01-01

    textabstractIn this paper a likelihood-based multivariate unit root testing framework is utilized to test whether the real exchange rates of G10 countries are non-stationary. The framework uses a likelihood ratio statistic which combines the information across all involved countries while retaining

  9. Decoupling of Double Extraction Turbo-Unit by Nonlinear Multivariable Inverse System Method

    Institute of Scientific and Technical Information of China (English)

    黎浩荣; 李立勤; 李东海; 宋兆星; 王伟

    2001-01-01

    A multivariable inverse nonlinear control scheme is developed to decouple the strongly nonlinear double extraction steam turbo-unit, improving the transient stability of the power and heating system. Computer simulation tests show that not only does the control scheme achieve satisfactory decoupling of the high and low pressure turbines and the electric power, remarkably improving the transient stability, but also the design is very intuitive and concise.

  10. Title Attributes of Successful Books in the United States: 1910-1990.

    Science.gov (United States)

    Robinson, William C.

    This study examined titles of successful books, i.e., those that were best sellers or won literary prizes. In all, 3,239 titles in 71 lists by decade were characterized. The single largest category was popular general fiction followed by general nonfiction. About 49% of the titles won or were nominated for awards, and 45% were best sellers. Most…

  11. Incremental multivariable predictive functional control and its application in a gas fractionation unit

    Institute of Scientific and Technical Information of China (English)

    施惠元; 苏成利; 曹江涛; 李平; 宋英莉; 李宁波

    2015-01-01

    The control of gas fractionation unit (GFU) in petroleum industry is very difficult due to multivariable characteristics and a large time delay. PID controllers are still applied in most industry processes. However, the traditional PID control has been proven not sufficient and capable for this particular petro-chemical process. In this work, an incremental multivariable predictive functional control (IMPFC) algorithm was proposed with less online computation, great precision and fast response. An incremental transfer function matrix model was set up through the step-response data, and predictive outputs were deduced with the theory of single-value optimization. The results show that the method can optimize the incremental control variable and reject the constraint of the incremental control variable with the positional predictive functional control algorithm, and thereby making the control variable smoother. The predictive output error and future set-point were approximated by a polynomial, which can overcome the problem under the model mismatch and make the predictive outputs track the reference trajectory. Then, the design of incremental multivariable predictive functional control was studied. Simulation and application results show that the proposed control strategy is effective and feasible to improve control performance and robustness of process.

  12. Title list, publicly available documents: Three Mile Island Unit 1, Docket 50-289 - cumulated to November 16, 1979

    Energy Technology Data Exchange (ETDEWEB)

    None

    1979-01-01

    This title list of publicly available documents pertaining to Three Mile Island Unit 1, Docket 50-289, includes all documents pertaining to this Docket that had been filed in the NRC Public Document Room as of November 16, 1979. The categories used for filing and searching in the NRC Public Document Room are used to catalog the entries.

  13. Publicly available documents Three Mile Island Unit 2, Docket 50-320. Title list, July 1-October 31, 1979

    Energy Technology Data Exchange (ETDEWEB)

    1979-01-01

    This supplemental title list of publicly available documents pertaining to Three Mile Island Unit 2, Docket 50-320, includes those preincident and postincident documents filed in the NRC Public Document Room between July 1, 1979 and October 31, 1979. It is divided into preincident and postincident listings, with both listings sub-divided into the categories used for filing and searching in the NRC Public Document Room.

  14. Mapping Natural Terroir Units using a multivariate approach and legacy data

    Science.gov (United States)

    Priori, Simone; Barbetti, Roberto; L'Abate, Giovanni; Bucelli, Piero; Storchi, Paolo; Costantini, Edoardo A. C.

    2014-05-01

    Natural Terroir Unit (NTU) is a volume of earth's biosphere that is characterized by a stable set of variables related to the topography, climate, geology and soil. Methods to study the association soil-climate-vines are numerous, but the main question is always: which variables are actually important for the quality and the typicality of grapevines, and then wine, for a particular scale? This work aimed to setting up a multivariate methodology to define viticultural terroirs at the province scale (1:125,000), using viticultural and oenological legacy data. The study area was the Siena province in the Tuscany region (Central Italy). The reference grapevine cultivar was "Sangiovese", which is the most important cultivar of the region. The methodology was based upon the creation of a GIS storing several viticultural and oenological legacy data of 55 experimental vineyards (vintages between 1989-2009), the long term climate data, the digital elevation model, the soil-landscapes (land systems) and the soil profiles with the soil analysis. The selected viticultural and oenological parameters were: must sugar content, sugar accumulation rate from veraison to harvest, must titratable acidity, grape yield per vine, number of bunches for vine, mean bunch weight, and mean weight of berries. The environmental parameters related to viticulture, selected by an explorative PCA, were: elevation, mean annual temperature, mean soil temperature, annual precipitation, clay, sand and gravel content of soils, soil water availability, redoximorphic features and rooting depth. The geostatistical models of the variables interpolation were chosen on the best of mean standardize error, obtained by the cross-validation, between "Simple cokriging with varying local mean", "Multicollocated simple cokriging with varying local mean" and "Regression kriging". These variables were used for a k-means clustering aimed to map the Natural Terroirs Units (NTUs). The viticultural areas of Siena province

  15. Application of multivariate analysis toward biotech processes: case study of a cell-culture unit operation.

    Science.gov (United States)

    Kirdar, Alime Ozlem; Conner, Jeremy S; Baclaski, Jeffrey; Rathore, Anurag S

    2007-01-01

    This paper examines the feasibility of using multivariate data analysis (MVDA) for supporting some of the key activities that are required for successful manufacturing of biopharmaceutical products. These activities include scale-up, process comparability, process characterization, and fault diagnosis. Multivariate data analysis and modeling were performed using representative data from small-scale (2 L) and large-scale (2000 L) batches of a cell-culture process. Several input parameters (pCO2, pO2, glucose, pH, lactate, ammonium ions) and output parameters (purity, viable cell density, viability, osmolality) were evaluated in this analysis. Score plots, loadings plots, and VIP plots were utilized for assessing scale-up and comparability of the cell-culture process. Batch control charts were found to be useful for fault diagnosis during routine manufacturing. Finally, observations made from reviewing VIP plots were found to be in agreement with conclusions from process characterization studies demonstrating the effectiveness of MVDA as a tool for extracting process knowledge.

  16. 36 CFR 254.15 - Title standards.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 2 2010-07-01 2010-07-01 false Title standards. 254.15... ADJUSTMENTS Land Exchanges § 254.15 Title standards. (a) Title evidence. (1) Unless otherwise specified by the... and “Standards for the Preparation of Title Evidence in Land Acquisitions by the United States”...

  17. Approximation by Multivariate Singular Integrals

    CERN Document Server

    Anastassiou, George A

    2011-01-01

    Approximation by Multivariate Singular Integrals is the first monograph to illustrate the approximation of multivariate singular integrals to the identity-unit operator. The basic approximation properties of the general multivariate singular integral operators is presented quantitatively, particularly special cases such as the multivariate Picard, Gauss-Weierstrass, Poisson-Cauchy and trigonometric singular integral operators are examined thoroughly. This book studies the rate of convergence of these operators to the unit operator as well as the related simultaneous approximation. The last cha

  18. Up-scaling of multi-variable flood loss models from objects to land use units at the meso-scale

    Directory of Open Access Journals (Sweden)

    H. Kreibich

    2016-05-01

    Full Text Available Flood risk management increasingly relies on risk analyses, including loss modelling. Most of the flood loss models usually applied in standard practice have in common that complex damaging processes are described by simple approaches like stage-damage functions. Novel multi-variable models significantly improve loss estimation on the micro-scale and may also be advantageous for large-scale applications. However, more input parameters also reveal additional uncertainty, even more in upscaling procedures for meso-scale applications, where the parameters need to be estimated on a regional area-wide basis. To gain more knowledge about challenges associated with the up-scaling of multi-variable flood loss models the following approach is applied: Single- and multi-variable micro-scale flood loss models are up-scaled and applied on the meso-scale, namely on basis of ATKIS land-use units. Application and validation is undertaken in 19 municipalities, which were affected during the 2002 flood by the River Mulde in Saxony, Germany by comparison to official loss data provided by the Saxon Relief Bank (SAB.In the meso-scale case study based model validation, most multi-variable models show smaller errors than the uni-variable stage-damage functions. The results show the suitability of the up-scaling approach, and, in accordance with micro-scale validation studies, that multi-variable models are an improvement in flood loss modelling also on the meso-scale. However, uncertainties remain high, stressing the importance of uncertainty quantification. Thus, the development of probabilistic loss models, like BT-FLEMO used in this study, which inherently provide uncertainty information are the way forward.

  19. Failure to Validate a Multivariable Clinical Prediction Model to Identify Pediatric Intensive Care Unit Patients at High Risk for Candidemia.

    Science.gov (United States)

    Fisher, Brian T; Ross, Rachael K; Roilides, Emmanuel; Palazzi, Debra L; Abzug, Mark J; Hoffman, Jill A; Berman, David M; Prasad, Priya A; Localio, A Russell; Steinbach, William J; Vogiatzi, Lambrini; Dutta, Ankhi; Zaoutis, Theoklis E

    2016-12-01

    We attempted to validate a previously derived clinical prediction rule for candidemia in the pediatric intensive care unit. This multicenter case control study did not identify significant association of candidemia with most of the previously identified predictors. Additional study in larger cohorts with other predictor variables is needed. © The Author 2015. Published by Oxford University Press on behalf of the Pediatric Infectious Diseases Society. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  20. Estimation and scaling of hydrostratigraphic units: application of unsupervised machine learning and multivariate statistical techniques to hydrogeophysical data

    Science.gov (United States)

    Friedel, Michael J.

    2016-08-01

    Numerical models provide a way to evaluate groundwater systems, but determining the hydrostratigraphic units (HSUs) used in constructing these models remains subjective, nonunique, and uncertain. A three-step machine-learning approach is proposed in which fusion, estimation, and clustering operations are performed on different data sets to arrive at HSUs at different scales. In step one, data fusion is performed by training a self-organizing map (SOM) with sparse borehole hydrogeologic (lithology, hydraulic conductivity, aqueous field parameters, dissolved constituents) and geophysical (gamma, spontaneous potential, and resistivity) measurements. Estimation is handled by iterative least-squares minimization of the SOM quantization and topographical errors. Application of the Davies-Bouldin criteria to k-means clustering of SOM nodes is used to determine the number and location of discontinuous borehole HSUs with low lateral density (based on borehole spacing at 100 s m) and high vertical density (based on cm-scale logging). In step two, a scaling network is trained using the estimated borehole HSUs, airborne electromagnetic measurements, and numerically inverted resistivity profiles. In step three, independent airborne electromagnetic measurements are applied to the scaling network, and the estimation performed to arrive at a set of continuous HSUs with high lateral density (based on sounding locations at meter (m) spacing) and medium vertical density (based on m-layer modeled structure). Performance metrics are used to evaluate each step of the approach. Efficacy of the proposed approach is demonstrated to map local-to-regional scale HSUs using hydrogeophysical data collected at a heterogeneous surficial aquifer in northwestern Nebraska, USA.

  1. Estimation and scaling of hydrostratigraphic units: application of unsupervised machine learning and multivariate statistical techniques to hydrogeophysical data

    Science.gov (United States)

    Friedel, Michael J.

    2016-12-01

    Numerical models provide a way to evaluate groundwater systems, but determining the hydrostratigraphic units (HSUs) used in constructing these models remains subjective, nonunique, and uncertain. A three-step machine-learning approach is proposed in which fusion, estimation, and clustering operations are performed on different data sets to arrive at HSUs at different scales. In step one, data fusion is performed by training a self-organizing map (SOM) with sparse borehole hydrogeologic (lithology, hydraulic conductivity, aqueous field parameters, dissolved constituents) and geophysical (gamma, spontaneous potential, and resistivity) measurements. Estimation is handled by iterative least-squares minimization of the SOM quantization and topographical errors. Application of the Davies-Bouldin criteria to k-means clustering of SOM nodes is used to determine the number and location of discontinuous borehole HSUs with low lateral density (based on borehole spacing at 100 s m) and high vertical density (based on cm-scale logging). In step two, a scaling network is trained using the estimated borehole HSUs, airborne electromagnetic measurements, and numerically inverted resistivity profiles. In step three, independent airborne electromagnetic measurements are applied to the scaling network, and the estimation performed to arrive at a set of continuous HSUs with high lateral density (based on sounding locations at meter (m) spacing) and medium vertical density (based on m-layer modeled structure). Performance metrics are used to evaluate each step of the approach. Efficacy of the proposed approach is demonstrated to map local-to-regional scale HSUs using hydrogeophysical data collected at a heterogeneous surficial aquifer in northwestern Nebraska, USA.

  2. Neuralfussy multivariable control applied to the control of velocity, power, and exhaust gas temperature of a turbo gas unit; Control neurodifuso multivariable aplicado al control de velocidad, potencia y temperatura de gases de escape de una unidad turbogas

    Energy Technology Data Exchange (ETDEWEB)

    Segura Ozuna, Victor Octavio

    2004-11-15

    formulation of a controller feedback multivariable is presented, designed with the combination of the technologies of fuzzy logic and neural networks with the purpose of improving the control of speed, power and temperature of the UTG. This proposed control is used in conjunction with the scheme of conventional control of the existent UTG, to integrate a strategy of control hybrid feedback. The control feedback is compound for a fuzzy inference system of multiple entrances and a left exit designed with entrance data and exit of the plant. The controller feed forward is compound for conventional controllers type PI in this type of units. With this strategy, the controller feedback provides a bigger contribution in the control sign the effort of the conventional controllers' PI control and the strong interaction that it exists among them diminishing. The controllers PI feed forward contribute a smaller control sign used for fine adjustments in the control sign. [Spanish] La demanda de energia electrica en Mexico ha obligado al sector electrico a estar en una busqueda constante de metodos y sistemas que, entre otros objetivos, mejoren continuamente la operacion de las centrales generadoras de energia electrica. Como parte de su mision, el Instituto de Investigaciones Electricas (IIE) ha promovido y apoyado la investigacion aplicada y el desarrollo tecnologico para mejorar los indices de seguridad, disponibilidad, confiabilidad, eficiencia y durabilidad de centrales generadoras mediante el desarrollo y la implantacion de grandes sistemas digitales de informacion y control. En la actualidad, dentro del esquema de generacion de energia electrica, las unidades turbogas (UTG) representan 7% de la generacion del sector electrico nacional [1]. Estas unidades se han convertido en el modo dominante de la nueva generacion electrica en los EE.UU, ya sea en ciclo simple o combinado. Lo anterior, es atribuible al menor costo de instalacion por kilowatt generado, a los programas de

  3. Multivariate $\\alpha$-molecules

    OpenAIRE

    Flinth, Axel; Schäfer, Martin

    2015-01-01

    The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropic features. Some prominent examples of these are given by ridgelets, curvelets, and shearlets, to name a few. The great variety of such so-called directional systems motivated the search for a common framework, which unites many under one roof and enables a simultaneous analysis, for example with respect to approxim...

  4. Public Law 94-553-Oct. 19, 1976. An Act For the General Revision of the Copyright Law, Title 17 of the United States Code, and for Other Purposes. Title 17-Copyrights. Ninety-Fourth Congress.

    Science.gov (United States)

    Congress of the U.S., Washington, DC.

    The copyright law of the United States is amended in its entirety by this act that takes effect in 1978. Literary works; musical works; dramatic works; pantomimes and choreographic works; pictorial, graphic, and sculptural works; motion pictures and other audiovisual works; and sound recordings are included in the subject matter of copyright.…

  5. A multivariate mixed model system for wood specific gravity and moisture content of planted loblolly pine stands in the southern United States

    Science.gov (United States)

    Finto Antony; Laurence R. Schimleck; Alex Clark; Richard F. Daniels

    2012-01-01

    Specific gravity (SG) and moisture content (MC) both have a strong influence on the quantity and quality of wood fiber. We proposed a multivariate mixed model system to model the two properties simultaneously. Disk SG and MC at different height levels were measured from 3 trees in 135 stands across the natural range of loblolly pine and the stand level values were used...

  6. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 600 ... ... Metals in the Water and Sediment from Challawa Gorge Dam, Kano, Nigeria ... Vol 7, No 1 (2014), Tiger Nut (Cyperus Esculentus): Composition, Products, Uses and ... Vol 5, No 1 (2012), In Vitro Antiplasmodial Activity and Cytotoxicity of ... List All Titles · Free To Read Titles This Journal is Open Access.

  7. Browse Title Index

    African Journals Online (AJOL)

    Items 151 - 200 of 373 ... South African Journal of Surgery. ... Vol 54, No 3 (2016), Instilling a culture of safety for laparoscopic ... VS Karthikeyan, P Dhanasekar, SC Sistla, MS Ali, .... Browse By Category · Browse Alphabetically · Browse By Country · List All Titles · Free To Read Titles This Journal is Open Access. Featuring ...

  8. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 158 ... Vol 6, No 2 (2014), A Novel Surgical Pre-suturing Technique for the Management ... VS Parelkar, JL Patel, BV Sanghvi, PB Joshi, SK Sahoo, N Sampat, SN Oak, N Sathe ... an Inguinal Hernia Incision in Simultaneous Laparoscopic Anterior .... List All Titles · Free To Read Titles This Journal is Open Access.

  9. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 77 ... Vol 12, No 1 (2012), Anaesthesia for Surgical Outreach in a Rural ... Trauma Patients with the Hip Flexed Versus Non Flexed (Hamstring Position), Abstract ... following laparoscopic cholecystectomy: a randomized prospective study, Abstract .... List All Titles · Free To Read Titles This Journal is Open Access.

  10. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 162 ... Vol 8, No 1 (2012), A descriptive Survey on Teachers' Perception of EFL Writing ... Vol 12, No 2 (2017), An assessment of mathematics classroom teaching- learning process: ... Vol 3, No 2 (2008), Andragogical Approach for Sustainable .... List All Titles · Free To Read Titles This Journal is Open Access.

  11. Browse Title Index

    African Journals Online (AJOL)

    Items 151 - 200 of 411 ... Browse Title Index ... Issue, Title ... Vol 1, No 1 (2012), From Theory into Practice: Theatre-in-Education and Child ... Vol 1, No 4 (2012), Inflation - Adjusted Accounting and Corporate Value Redefinition: Fixing Nigeria ...

  12. Multivariable q-Racah polynomials

    CERN Document Server

    Van Diejen, J F

    1996-01-01

    The Koornwinder-Macdonald multivariable generalization of the Askey-Wilson polynomials is studied for parameters satisfying a truncation condition such that the orthogonality measure becomes discrete with support on a finite grid. For this parameter regime the polynomials may be seen as a multivariable counterpart of the (one-variable) q-Racah polynomials. We present the discrete orthogonality measure, expressions for the normalization constants converting the polynomials into an orthonormal system (in terms of the normalization constant for the unit polynomial), and we discuss the limit q\\rightarrow 1 leading to multivariable Racah type polynomials. Of special interest is the situation that q lies on the unit circle; in that case it is found that there exists a natural parameter domain for which the discrete orthogonality measure (which is complex in general) becomes real-valued and positive. We investigate the properties of a finite-dimensional discrete integral transform for functions over the grid, whose ...

  13. Multi-variable neural-fuzzy control applied to the control of speed, power and temperature of turbo-gas units; Control neurodifuso multivariable aplicado al control de velocidad, potencia y temperatura de unidades turbogas

    Energy Technology Data Exchange (ETDEWEB)

    Segura O, Victor O; De Lara J, Salvador C [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico); Alvarado M, Victor M [Centro Nacional de Investigacion y Desarrollo Tecnologico (Cenidet), Cuernavaca, Morelos (Mexico)

    2005-07-01

    Gas turbines (GT) are high risk systems that operate at high velocities, temperatures and pressures. These conditions establish very strict requirements for the control system, reason why it is required a high automation level to obtain a safe and profitable operation. The control system of the turbo-gas units (TGU) is based on conventional control algorithms of type PI. This control scheme is destined for regulation and rejection of disturbance tasks, and not to follow reference points. All the controllers act on a single valve control, which represents a strong interaction between them. An alternative to treat this interaction and to improve the performance of the turbo-gas unit is the use of intelligent control techniques, adopting a pre-feedback scheme. The feedback control and the pre-feedback one are combined so that the first one assures the regulation around the operation points (for example, the synchronism velocity) and the second, provides the pursuit of the demanded trajectories established by the system. [Spanish] Las turbinas de gas (TG) son sistemas de alto riesgo que operan a altas velocidades, temperaturas y presiones. Estas condiciones establecen requerimientos muy estrictos para el sistema de control, por lo que se requiere en alto nivel de automatizacion para lograr una operacion segura y rentable. El sistema de control de las unidades turbogas (UTG) esta basado en algoritmos de control convencionales del tipo PI. Este esquema de control es destinado para tareas de regulacion y rechazo a perturbaciones, y no para seguimiento de puntos de referencia. Todos los controladores actuan sobre una sola valvula de control, lo que representa una fuerte interaccion entre los mismos. Una alternativa para tratar esta interaccion y mejorar el desempeno de la unidad turbogas es el empleo de tecnicas de control inteligente, adoptando un esquema retro-prealimentado. El control retroalimentado y el prealimentado se combinan para que el primero asegure la

  14. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 319 ... Journal Home > Advanced Search > Browse Title Index ... Vol 6, No 1 (2006), Analysis of staff training activities of Borno States Agricultural ... oil companies on the chieftaincy institution in Bayelsa State, Nigeria, Abstract PDF.

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    African Journals Online (AJOL)

    Items 101 - 111 of 111 ... Journal Home > Advanced Search > Browse Title Index ... Vol 6, No 2 (2016), Uses of systemic approach and chemist's triangle in ... nomenclature: Effect on senior secondary students' performance in rivers state of ...

  16. Browse Title Index

    African Journals Online (AJOL)

    Items 51 - 100 of 183 ... Journal Home > Advanced Search > Browse Title Index ... Exploring the job satisfaction and organisational commitment of employees in ... Job insecurity, organisational commitment and work engagement among staff in ...

  17. Browse Title Index

    African Journals Online (AJOL)

    Items 451 - 500 of 1075 ... Browse Title Index ... EL Stellenberg, V Corfield ... programme on coronary artery disease risk in male employees ... Vol 14, No 4 (2008):, Influence of exercise on preconception, pregnant women, the development ...

  18. Browse Title Index

    African Journals Online (AJOL)

    Items 151 - 200 of 200 ... Vol 4, No 1 (2009), Review Article - Book title: Oral tradition as history ... and Argentina in comparison with Nigeria's 2014 pension reform act, Abstract .... quantitative and qualitative techniques in sociological research: a ...

  19. Browse Title Index

    African Journals Online (AJOL)

    Items 401 - 450 of 1075 ... Issue, Title ... beliefs about causes of sport success among Malaysian athletes, Abstract ... Vol 22, No 3:1 (2016), Golf tourism in South Africa: Profiling ... Cup's greening programmes and implications for environmental ...

  20. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 65 ... Journal Home > Advanced Search > Browse Title Index .... Vol 20, No 1 (2013), Implementation of Broad-Based Black Economic ... from the lean construction perspective: A focus on supply chain management, Abstract PDF.

  1. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 200 ... Journal Home > Advanced Search > Browse Title Index ... Vol 11, No 1 (2016), Assessment of supply chain management in Nigerian ... Vol 4, No 1 (2009), Democracy as a political imperative for successful implementation of ...

  2. Browse Title Index

    African Journals Online (AJOL)

    Items 51 - 100 of 423 ... ... Enforceability of African Charter on Human and Peoples Rights in Nigeria .... An Ethnographic Analysis of Traditional Title Dispute in Southern ... Nigeria: Discourse on Proposed Establishment of Grazing Routes and ...

  3. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 145 ... Journal Home > Advanced Search > Browse Title Index ... Vol 16, No 2 (2008), Access to and use of computers among clinical dental ... of undergraduate clinical dental students towards orthodontics and orthodontists in a ...

  4. Soils data for the Conterminous United States Derived from the NRCS State Soil Geographic (STATSGO) Data Base. [Original title: State Soil Geographic (STATSGO) Data Base for the Conterminous United States.

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — USSOILS is an Arc 7.0 coverage containing hydrology-relevant information for 10,498 map units covering the entire conterminous United States. The coverage was...

  5. Evaluation of multivariate surveillance

    OpenAIRE

    Frisén,Marianne; Andersson, Eva; Schiöler, Linus

    2009-01-01

    Multivariate surveillance is of interest in many areas such as industrial production, bioterrorism detection, spatial surveillance, and financial transaction strategies. Some of the suggested approaches to multivariate surveillance have been multivariate counterparts to the univariate Shewhart, EWMA, and CUSUM methods. Our emphasis is on the special challenges of evaluating multivariate surveillance methods. Some new measures are suggested and the properties of several measures are demonstrat...

  6. Browse Title Index

    African Journals Online (AJOL)

    ... conditions for the optimisers of certain class of linear programming problems ... of A. Cellulose from Pennisetum purpureum as a disintegrant in tablet formulation ... Power Station, S.E. Nigeria: Molecular index and Multi-Variate Approaches ...

  7. Browse Title Index

    African Journals Online (AJOL)

    Items 1 - 50 of 522 ... Journal Home > Advanced Search > Browse Title Index ... Vol 12, No 1 (2006), A clinical comparison of disposable airway devices ... Vol 22, No 2 (2016), A new option in airway management: evaluation of the TotalTrack® ...

  8. Browse Title Index

    African Journals Online (AJOL)

    Items 301 - 350 of 463 ... Issue, Title ... Vol 38, No 2 (2016), Prevalence and effect of developmental ... student expectations for working in the tourism and hospitality industry: A ... Vol 38, No 3 (2016), Relationships among residence environment and individual ... of international physical activity questionnaire, Bahasa Malaysia ...

  9. Browse Title Index

    African Journals Online (AJOL)

    Items 201 - 250 of 426 ... Journal Home > Advanced Search > Browse Title Index ... Vol 21, No 1 (2016), Maximum potential cost-savings attributable to generic ... Vol 22, No 1 (2017), Movement as a critical concept in model generation to attain ... factors influencing paediatric adherence to anti-retroviral therapy, Abstract PDF.

  10. Titles of Midas

    Directory of Open Access Journals (Sweden)

    G. L. Huxley

    2001-09-01

    Full Text Available The Phrygian inscription on the tomb at Yazılıkaya (8th century gives Midas the titles wanax and lawagtas, paralled in Mycenaean, and there were strong connections between his dynasty and Greek Aeolis.

  11. Three-Dimensional Joint Geophysical Imaging Using an Advanced Multivariate Inversion Technique: the Method and its Application to the Utah area, United States

    Science.gov (United States)

    Zhang, Haijiang; Maceira, Monica; Benson, Thomas; Nafi Toksoz, M.

    2010-05-01

    We present an advanced multivariate inversion technique to generate a realistic, comprehensive, and high-resolution 3D model of the seismic structure of the crust and upper mantle. The model satisfies several independent geophysical datasets including seismic surface wave dispersion measurements, gravity, and seismic arrival time. The joint inversion method takes advantage of strengths of individual data sets and is able to better constrain the seismic velocity models from shallower to greater depths. To combine different geophysical datasets into a common system, we design an optimal weighting scheme that is based on relative uncertainties of individual observations, their sensitivities to model parameters, and the trade-off of different data fitting. We apply this joint inversion method to determine the 3D Vp and Vs models of the Utah area. The seismic body wave arrival times are assembled from waveform data recorded by the University of Utah Seismograph Stations (UUSS) regional network and the EarthScope/USArray network. The surface wave dispersion measurements are obtained from the ambient noise tomography study by the University of Colorado group using EarthScope/USArray stations. The gravity data for the Utah area is extracted from the North American Gravity Database managed by the University of Texas at El Paso. The joint inversions using two individual data sets such as seismic arrival time and gravity data, as well as seismic surface wave and gravity data indicate strong low velocity anomalies in middle crust beneath some known geothermal sites in Utah. The joint inversion of all three data sets will be presented and is expected to produce a reasonably well-constrained velocity structure of the Utah area, which is helpful for characterizing and exploring existing and potential geothermal reservoirs.

  12. Multivariate analysis with LISREL

    CERN Document Server

    Jöreskog, Karl G; Y Wallentin, Fan

    2016-01-01

    This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.

  13. Switching Between Multivariable Controllers

    DEFF Research Database (Denmark)

    Niemann, H.; Stoustrup, Jakob; Abrahamsen, R.B.

    2004-01-01

    A concept for implementation of multivariable controllers is presented in this paper. The concept is based on the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization of all stabilizing controllers. By using this architecture for implementation of multivariable controllers, it is shown how...

  14. Multivariate GARCH models

    DEFF Research Database (Denmark)

    Silvennoinen, Annastiina; Teräsvirta, Timo

    This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed. Finally, there is an empirical example...... in which several multivariate GARCH models are fitted to the same data set and the results compared....

  15. Multivariate irregular sampling theorem

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    In this paper,we prove a Marcinkiewicz-Zygmund type inequality for multivariate entire functions of exponential type with non-equidistant spaced sampling points. And from this result,we establish a multivariate irregular Whittaker-Kotelnikov-Shannon type sampling theorem.

  16. Multivariate GARCH models

    DEFF Research Database (Denmark)

    Silvennoinen, Annastiina; Teräsvirta, Timo

    This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed. Finally, there is an empirical example...... in which several multivariate GARCH models are fitted to the same data set and the results compared....

  17. Multivariate irregular sampling theorem

    Institute of Scientific and Technical Information of China (English)

    CHEN GuangGui; FANG GenSun

    2009-01-01

    In this paper, we prove a Marcinkiewicz-Zygmund type inequality for multivariate entire functions of exponential type with non-equidistant spaced sampling points. And from this result, we establish a multivariate irregular Whittaker-Kotelnikov-Shannon type sampling theorem.

  18. Switching Between Multivariable Controllers

    DEFF Research Database (Denmark)

    Niemann, Hans Henrik; Stoustrup, Jakob; Abrahamsen, Rune

    2004-01-01

    it is possible to smoothly switch between multivariable controllers with guaranteed closed-loop stability. This includes also the case where one or more controllers are unstable. The concept for smooth online changes of multivariable controllers based on the YJBK architecture can also handle the start up...

  19. 24 CFR 234.65 - Nature of title.

    Science.gov (United States)

    2010-04-01

    ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Nature of title. 234.65 Section 234.65 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued... OWNERSHIP MORTGAGE INSURANCE Eligibility Requirements-Individually Owned Units § 234.65 Nature of title....

  20. Browse Title Index

    African Journals Online (AJOL)

    Items 51 - 100 of 676 ... African Journal of Aquatic Science. ... Vol 37, No 1 (2012), An experimental study on food and salinity preferences of two ... of multivariate statistics and toxicity indices to evaluate the water quality suitability for fish of three ...

  1. Browse Title Index

    African Journals Online (AJOL)

    Items 51 - 93 of 93 ... Vol 11, No 2 (2016), Sparse Gaussian graphical mixture model, Abstract PDF ... for the approximated similarity from the Minhashing method, Abstract PDF ... Vol 1, No 1 (2005), Weighted Multivariate Cram´er-von Mises-type ...

  2. Browse Title Index

    African Journals Online (AJOL)

    Items 101 - 150 of 153 ... Vol 4, No 1 (2000): July, Production and Marketing of Smallholder Tobacco: ... Component Analysis Using Measures of Multivariate Association, Abstract ... on Urban and Peri-Urban Agricultural Land Management: The Case of ... Materials For Architectural and Photo-thermal Applications, Abstract.

  3. Browse Title Index

    African Journals Online (AJOL)

    Items 201 - 250 of 333 ... Vol 9, No 1 (2010), Market supply response of imported sardinella in Cross River State, Nigeria, Abstract ... Vol 6, No 1 (2007), Multivariate evaluation of variation in ... peasant agriculture: An application of data envelopment analysis ... Vol 4, No 1 (2005), Planning sustainable soil management under ...

  4. Methods of Multivariate Analysis

    CERN Document Server

    Rencher, Alvin C

    2012-01-01

    Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life sit

  5. Multivariate Time Series Search

    Data.gov (United States)

    National Aeronautics and Space Administration — Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical...

  6. Multivariate Birkhoff interpolation

    CERN Document Server

    Lorentz, Rudolph A

    1992-01-01

    The subject of this book is Lagrange, Hermite and Birkhoff (lacunary Hermite) interpolation by multivariate algebraic polynomials. It unifies and extends a new algorithmic approach to this subject which was introduced and developed by G.G. Lorentz and the author. One particularly interesting feature of this algorithmic approach is that it obviates the necessity of finding a formula for the Vandermonde determinant of a multivariate interpolation in order to determine its regularity (which formulas are practically unknown anyways) by determining the regularity through simple geometric manipulations in the Euclidean space. Although interpolation is a classical problem, it is surprising how little is known about its basic properties in the multivariate case. The book therefore starts by exploring its fundamental properties and its limitations. The main part of the book is devoted to a complete and detailed elaboration of the new technique. A chapter with an extensive selection of finite elements follows as well a...

  7. Applied multivariate statistical analysis

    CERN Document Server

    Härdle, Wolfgang Karl

    2015-01-01

    Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners.  It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added.  All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior.  All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate ...

  8. What makes a good title?

    Science.gov (United States)

    Grant, Maria J

    2013-12-01

    The chances are the first thing you when you set out to write an article is the title. But what factors transform a mediocre title into a good title? Firstly, it should be both informative and specific, using words or phrases likely to be used when searching for information, for example 'nurse education' rather than simply 'nurse'. Secondly, it should be concise yet convey the main ideas clearly; articles with short titles reporting study findings have been found to attract higher numbers of viewing and citations. Thirdly, provide details of the study design to assist the reader in making an informed choice about the type of project your article is reporting. In taking these small steps when developing your title, your title can present a more concise, retrievable and clear articulation of your article.

  9. Multivariate bubbles and antibubbles

    Science.gov (United States)

    Fry, John

    2014-08-01

    In this paper we develop models for multivariate financial bubbles and antibubbles based on statistical physics. In particular, we extend a rich set of univariate models to higher dimensions. Changes in market regime can be explicitly shown to represent a phase transition from random to deterministic behaviour in prices. Moreover, our multivariate models are able to capture some of the contagious effects that occur during such episodes. We are able to show that declining lending quality helped fuel a bubble in the US stock market prior to 2008. Further, our approach offers interesting insights into the spatial development of UK house prices.

  10. Browse Title Index

    African Journals Online (AJOL)

    Items 151 - 195 of 195 ... ... and communication technology on farm income in Katsina state of Nigeria, Abstract PDF ... Rate between Mexico and the United States of America? ... manage international migration: the case of Ghana, Abstract PDF.

  11. Interim Title V Program Approvals

    Science.gov (United States)

    This document may be of assistance in applying the Title V air operating permit regulations. This document is part of the Title V Policy and Guidance Database available at www2.epa.gov/title-v-operating-permits/title-v-operating-permit-policy-and-guidance-document-index. Some documents in the database are a scanned or retyped version of a paper photocopy of the original. Although we have taken considerable effort to quality assure the documents, some may contain typographical errors. Contact the office that issued the document if you need a copy of the original.

  12. 77 FR 35879 - Defense Federal Acquisition Regulation Supplement: Title 41 Positive Law Codification-Further...

    Science.gov (United States)

    2012-06-15

    ...: Title 41 Positive Law Codification--Further Implementation (DFARS Case 2012- D003) AGENCY: Defense... titles throughout the DFARS to the new Positive Law Codification of Title 41, United States Code, ``Public Contracts.'' DATES: June 15, 2012. FOR FURTHER INFORMATION CONTACT: Ms. Amy G. Williams, telephone...

  13. Multivariate data analysis

    DEFF Research Database (Denmark)

    Hansen, Michael Adsetts Edberg

    Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set...

  14. Multivariate realised kernels

    DEFF Research Database (Denmark)

    Barndorff-Nielsen, Ole Eiler; Hansen, Peter Reinhard; Lunde, Asger

    2011-01-01

    We propose a multivariate realised kernel to estimate the ex-post covariation of log-prices. We show this new consistent estimator is guaranteed to be positive semi-definite and is robust to measurement error of certain types and can also handle non-synchronous trading. It is the first estimator...

  15. Multivariate data analysis

    DEFF Research Database (Denmark)

    Hansen, Michael Adsetts Edberg

    Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set...

  16. A MULTIVARIATE WEIBULL DISTRIBUTION

    Directory of Open Access Journals (Sweden)

    Cheng Lee

    2010-07-01

    Full Text Available A multivariate survival function of Weibull Distribution is developed by expanding the theorem by Lu and Bhattacharyya. From the survival function, the probability density function, the cumulative probability function, the determinant of the Jacobian Matrix, and the general moment are derived.

  17. Evaluation of the 1978-79 United States Elementary and Secondary Education Act--Title I and Impact Aid Programs in Community School District 6, New York, N.Y.

    Science.gov (United States)

    Tilis, Howard S.; Conde, Aquiles

    The following programs funded under Title I and Impact Aid and implemented in New York City's Community School District 6 are evaluated in this report: (1) the Program for Corrective Reading for eligible students in grades 3-6; (2) the Junior High School Reading Lab Program; (3) Project Striver, designed to provide supplementary reading…

  18. Articles with short titles describing the results are cited more often

    Directory of Open Access Journals (Sweden)

    Carlos Eduardo Paiva

    2012-01-01

    Full Text Available OBJECTIVE: The aim of this study was to evaluate some features of article titles from open access journals and to assess the possible impact of these titles on predicting the number of article views and citations. METHODS: Research articles (n = 423, published in October 2008 from all Public Library of Science (PLoS journals and from 12 Biomed Central (BMC journals were evaluated. Publication metrics (views and citations were analyzed in December 2011. The titles were classified according to their contents, namely methods-describing titles and results-describing titles. The number of title characters, title typology, the use of a question mark, reference to a specific geographical region, and the use of a colon or a hyphen separating different ideas within a sentence were analyzed to identify predictors of views and citations. A logistic regression model was used to identify independent title characteristics that could predict citation rates. RESULTS: Short-titled articles had higher viewing and citation rates than those with longer titles. Titles containing a question mark, containing a reference to a specific geographical region, and that used a colon or a hyphen were associated with a lower number of citations. Articles with results-describing titles were cited more often than those with methods-describing titles. After multivariate analysis, only a low number of characters and title typology remained as predictors of the number of citations. CONCLUSIONS: Some features of article titles can help predict the number of article views and citation counts. Short titles presenting results or conclusions were independently associated with higher citation counts. The findings presented here could be used by authors, reviewers, and editors to maximize the impact of articles in the scientific community.

  19. Browse Title Index

    African Journals Online (AJOL)

    Items 101 - 150 of 571 ... Vol 6, No 1 (2008), Conservation Of Biodiversity In Central Cross ... of profitability of smallholder palm oil processing units in Ogun state, ... Vol 6, No 2 (2008), Dietary value of honey and it effects on abdominal fat deposit, ...

  20. Browse Title Index

    African Journals Online (AJOL)

    Items 251 - 300 of 475 ... ... infections in neonatal intensive care units: Cost-effective control strategies in ... Vol 43, No 3 (2016), Parental knowledge and impact on growth in ... of pathogens in acute bacterial meningitis beyond neonatal period at ...

  1. Browse Title Index

    African Journals Online (AJOL)

    Items 101 - 150 of 426 ... Health SA Gesondheid. ... Vol 11, No 3 (2006), Empowerment of parents in the neonatal intensive care unit by ... of persons with mental illness in a selected community in the iLembe district, KwaZulu-Natal, Abstract PDF.

  2. Browse Title Index

    African Journals Online (AJOL)

    Items 151 - 198 of 198 ... Vol 6, No 4-6 (2010), Reasons For Tooth Extraction Among ... Vol 2, No 3 (2008), Ruptured uterus in Kano, Nigeria - study of risk factors, Abstract ... Radiology Technicians and Sub staff of Radiology Units in Benue State.

  3. Browse Title Index

    African Journals Online (AJOL)

    Items 51 - 100 of 200 ... Vol 3, No 1 (2008), Emerging Pattern of Forest Bio-Diversity in South ... Vol 5, No 1 (2010), Employee morale in the national electric power ... new public management mantra in the United Kingdom public sector, Abstract.

  4. Browse Title Index

    African Journals Online (AJOL)

    Items 551 - 600 of 641 ... Vol 4, No 4 (2014), Spousal Participation in Labor and Delivery in Nigeria, Abstract PDF ... Superior mesenteric artery syndrome: an uncommon cause of ... Vol 5, No 6 (2015), The Influence of Method, Timing of Onset and ... of Newborn Infants in a Nigerian Special Care Baby Unit, Abstract PDF.

  5. Multivariate wavelet frames

    CERN Document Server

    Skopina, Maria; Protasov, Vladimir

    2016-01-01

    This book presents a systematic study of multivariate wavelet frames with matrix dilation, in particular, orthogonal and bi-orthogonal bases, which are a special case of frames. Further, it provides algorithmic methods for the construction of dual and tight wavelet frames with a desirable approximation order, namely compactly supported wavelet frames, which are commonly required by engineers. It particularly focuses on methods of constructing them. Wavelet bases and frames are actively used in numerous applications such as audio and graphic signal processing, compression and transmission of information. They are especially useful in image recovery from incomplete observed data due to the redundancy of frame systems. The construction of multivariate wavelet frames, especially bases, with desirable properties remains a challenging problem as although a general scheme of construction is well known, its practical implementation in the multidimensional setting is difficult. Another important feature of wavelet is ...

  6. Multivariate calculus and geometry

    CERN Document Server

    Dineen, Seán

    2014-01-01

    Multivariate calculus can be understood best by combining geometric insight, intuitive arguments, detailed explanations and mathematical reasoning. This textbook has successfully followed this programme. It additionally provides a solid description of the basic concepts, via familiar examples, which are then tested in technically demanding situations. In this new edition the introductory chapter and two of the chapters on the geometry of surfaces have been revised. Some exercises have been replaced and others provided with expanded solutions. Familiarity with partial derivatives and a course in linear algebra are essential prerequisites for readers of this book. Multivariate Calculus and Geometry is aimed primarily at higher level undergraduates in the mathematical sciences. The inclusion of many practical examples involving problems of several variables will appeal to mathematics, science and engineering students.

  7. Multivariate Quantitative Chemical Analysis

    Science.gov (United States)

    Kinchen, David G.; Capezza, Mary

    1995-01-01

    Technique of multivariate quantitative chemical analysis devised for use in determining relative proportions of two components mixed and sprayed together onto object to form thermally insulating foam. Potentially adaptable to other materials, especially in process-monitoring applications in which necessary to know and control critical properties of products via quantitative chemical analyses of products. In addition to chemical composition, also used to determine such physical properties as densities and strengths.

  8. Transient multivariable sensor evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Vilim, Richard B.; Heifetz, Alexander

    2017-02-21

    A method and system for performing transient multivariable sensor evaluation. The method and system includes a computer system for identifying a model form, providing training measurement data, generating a basis vector, monitoring system data from sensor, loading the system data in a non-transient memory, performing an estimation to provide desired data and comparing the system data to the desired data and outputting an alarm for a defective sensor.

  9. Transient multivariable sensor evaluation

    Science.gov (United States)

    Vilim, Richard B.; Heifetz, Alexander

    2017-02-21

    A method and system for performing transient multivariable sensor evaluation. The method and system includes a computer system for identifying a model form, providing training measurement data, generating a basis vector, monitoring system data from sensor, loading the system data in a non-transient memory, performing an estimation to provide desired data and comparing the system data to the desired data and outputting an alarm for a defective sensor.

  10. Multivariate Quantitative Chemical Analysis

    Science.gov (United States)

    Kinchen, David G.; Capezza, Mary

    1995-01-01

    Technique of multivariate quantitative chemical analysis devised for use in determining relative proportions of two components mixed and sprayed together onto object to form thermally insulating foam. Potentially adaptable to other materials, especially in process-monitoring applications in which necessary to know and control critical properties of products via quantitative chemical analyses of products. In addition to chemical composition, also used to determine such physical properties as densities and strengths.

  11. Multivariate respiratory motion prediction

    Science.gov (United States)

    Dürichen, R.; Wissel, T.; Ernst, F.; Schlaefer, A.; Schweikard, A.

    2014-10-01

    In extracranial robotic radiotherapy, tumour motion is compensated by tracking external and internal surrogates. To compensate system specific time delays, time series prediction of the external optical surrogates is used. We investigate whether the prediction accuracy can be increased by expanding the current clinical setup by an accelerometer, a strain belt and a flow sensor. Four previously published prediction algorithms are adapted to multivariate inputs—normalized least mean squares (nLMS), wavelet-based least mean squares (wLMS), support vector regression (SVR) and relevance vector machines (RVM)—and evaluated for three different prediction horizons. The measurement involves 18 subjects and consists of two phases, focusing on long term trends (M1) and breathing artefacts (M2). To select the most relevant and least redundant sensors, a sequential forward selection (SFS) method is proposed. Using a multivariate setting, the results show that the clinically used nLMS algorithm is susceptible to large outliers. In the case of irregular breathing (M2), the mean root mean square error (RMSE) of a univariate nLMS algorithm is 0.66 mm and can be decreased to 0.46 mm by a multivariate RVM model (best algorithm on average). To investigate the full potential of this approach, the optimal sensor combination was also estimated on the complete test set. The results indicate that a further decrease in RMSE is possible for RVM (to 0.42 mm). This motivates further research about sensor selection methods. Besides the optical surrogates, the sensors most frequently selected by the algorithms are the accelerometer and the strain belt. These sensors could be easily integrated in the current clinical setup and would allow a more precise motion compensation.

  12. Multivariate Statistical Process Control

    DEFF Research Database (Denmark)

    Kulahci, Murat

    2013-01-01

    As sensor and computer technology continues to improve, it becomes a normal occurrence that we confront with high dimensional data sets. As in many areas of industrial statistics, this brings forth various challenges in statistical process control (SPC) and monitoring for which the aim...... is to identify “out-of-control” state of a process using control charts in order to reduce the excessive variation caused by so-called assignable causes. In practice, the most common method of monitoring multivariate data is through a statistic akin to the Hotelling’s T2. For high dimensional data with excessive...

  13. Region 7 Title V facilities

    Data.gov (United States)

    U.S. Environmental Protection Agency — This web map shows the Region 7 Title V facilities (Clean Air Act major sources), any Class I areas within 300 km of R7 States, and any Tribal areas within 50 miles...

  14. Editor's Shelf: International Juvenile Titles.

    Science.gov (United States)

    Mitchell-Powell, Brenda

    1994-01-01

    Provides an annotated list of international juvenile picture books and notes those that emphasize text over pictures. The 49 titles present international perspectives for educators, librarians, and parents seeking materials with alternative cultural content. The majority are folk tales. (SLD)

  15. The multivariable analysis of prognostic factors of elderly patients with nosocomial Candidemia in intensive care unit%影响老年危重病念珠菌血症患者预后的多因素分析

    Institute of Scientific and Technical Information of China (English)

    杨向红; 孙仁华; 洪军

    2010-01-01

    目的 探讨重症监护病房(ICU)内老年院内念珠菌血症患者预后的影响因素.方法 收集2001-2008年我院75例院内获得性念珠菌血症老年患者的临床资料,根据预后分为死亡组和生存组,运用多因素Logistic回归分析方法探讨老年念珠菌血症患者预后的影响因素.结果 75例患者血培养共分离出75株念珠菌菌株,其中白色念珠菌22株(29.3%),非白色念珠菌为53株(70.7%);非白色念珠菌对氟康唑敏感率低,病死率达48.0%.多因素Logistic回归分析显示,感染性休克、合并细菌血症、血清肌酐升高及感染相关器官功能衰竭评分(SOFA评分)>10分是死亡的独立危险因素(Ward值分别为6.34、5.15、8.04、6.82,均为P<0.05).结论 老年院内获得性念珠菌血症患者病死率高,感染以非白色念珠菌为主,且对氟康唑耐药,应加强真菌药敏监测及危险因素监测,及时、合理使用抗真菌药物有助于改善预后.%Objective To evaluate the prognostic factors of elderly patients with noscomial Candidemia in intensive care unit. Methods A retrospective study was carried out in 75 elderly patients with noscomial Candidemia from 2001 to 2008. Multivariate logistic regression analysis was performed to find the correlations of prognosis with clinical and biochemical parameters. Results A total of 75 Candida strains were isolated from blood. The proportion of non-albicans species reached to 70.7%. Fluconazole-resistant candidiasis was increased. Overall mortality rate was 48.0%.Multivariate logistic regression analysis showed that septic shock, comorbid bacteremia, higher serum creatinine and sequential organ failure assessment (SOFA) score more than 10 were independent predictors for in-hospital mortality (Ward=6.34, 5.15, 8.04, 6.82, all P>0.05). Conclusions Noscomical Candidemia in elderly critical illness patients leads a high mortality, the proportion of nonalbicans species and fluconazole-resistant candidiasis

  16. Low rank Multivariate regression

    CERN Document Server

    Giraud, Christophe

    2010-01-01

    We consider in this paper the multivariate regression problem, when the target regression matrix $A$ is close to a low rank matrix. Our primary interest in on the practical case where the variance of the noise is unknown. Our main contribution is to propose in this setting a criterion to select among a family of low rank estimators and prove a non-asymptotic oracle inequality for the resulting estimator. We also investigate the easier case where the variance of the noise is known and outline that the penalties appearing in our criterions are minimal (in some sense). These penalties involve the expected value of the Ky-Fan quasi-norm of some random matrices. These quantities can be evaluated easily in practice and upper-bounds can be derived from recent results in random matrix theory.

  17. Analog multivariate counting analyzers

    CERN Document Server

    Nikitin, A V; Armstrong, T P

    2003-01-01

    Characterizing rates of occurrence of various features of a signal is of great importance in numerous types of physical measurements. Such signal features can be defined as certain discrete coincidence events, e.g. crossings of a signal with a given threshold, or occurrence of extrema of a certain amplitude. We describe measuring rates of such events by means of analog multivariate counting analyzers. Given a continuous scalar or multicomponent (vector) input signal, an analog counting analyzer outputs a continuous signal with the instantaneous magnitude equal to the rate of occurrence of certain coincidence events. The analog nature of the proposed analyzers allows us to reformulate many problems of the traditional counting measurements, and cast them in a form which is readily addressed by methods of differential calculus rather than by algebraic or logical means of digital signal processing. Analog counting analyzers can be easily implemented in discrete or integrated electronic circuits, do not suffer fro...

  18. Multivariate statistical methods a primer

    CERN Document Server

    Manly, Bryan FJ

    2004-01-01

    THE MATERIAL OF MULTIVARIATE ANALYSISExamples of Multivariate DataPreview of Multivariate MethodsThe Multivariate Normal DistributionComputer ProgramsGraphical MethodsChapter SummaryReferencesMATRIX ALGEBRAThe Need for Matrix AlgebraMatrices and VectorsOperations on MatricesMatrix InversionQuadratic FormsEigenvalues and EigenvectorsVectors of Means and Covariance MatricesFurther Reading Chapter SummaryReferencesDISPLAYING MULTIVARIATE DATAThe Problem of Displaying Many Variables in Two DimensionsPlotting index VariablesThe Draftsman's PlotThe Representation of Individual Data P:ointsProfiles o

  19. Multivariate statistics exercises and solutions

    CERN Document Server

    Härdle, Wolfgang Karl

    2015-01-01

    The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center  www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.

  20. Facing Title V permit constraints

    Energy Technology Data Exchange (ETDEWEB)

    Patankar, U.M. [JACA Corp., Fort Washington, PA (United States)

    1995-06-01

    The new Title V operating permit requirement under state regulations pursuant to the 1990 Clean Air Act Amendments will cover every emission source at a facility. These rules will significantly affect an operation by setting minimum compliance requirements, mandating periodic compliance certification, prescribing complex monitoring, record keeping and reporting procedures and making state and EPA approval of routine operational changes necessary through a permit amendment. The main concern with Title V is its effect on the operational flexibility of a facility, and individual emission sources within that facility. Unless properly addressed in a permit document, the term operational flexibility, so freely used by regulators in the context of the Title V program, can turn into a misnomer and the ability to operate as before may be significantly compromised under Title V. True operational flexibility is essential for businesses to respond to real changes in the marketplace. In the age of automation, just-in-time inventories and increased competition, flexibility to operate can mean the difference between growth and stagnation.

  1. Adjusted Poverty Measures and the Distribution of Title I Aid: Does Title I Really Make the Rich States Richer?

    Science.gov (United States)

    Baker, Bruce D.; Taylor, Lori; Levin, Jesse; Chambers, Jay; Blankenship, Charles

    2013-01-01

    Federal and state governments in the United States make extensive use of student poverty rates in compensatory aid programs like Title I. Unfortunately, the measures of student poverty that drive funding allocations under such programs are biased because they fail to reflect geographic differences in the cost of living. In this study, we construct…

  2. Multivariate Bioclimatic Ecosystem Change Approaches

    Science.gov (United States)

    2015-02-06

    conclude that an analogous patch did not exist. It must exist somewhere, but some of the other MVA techniques were restricted by the mathematical ...found that the Primarily Analogous Multivariate approach developed during this research clearly distinguished itself from the other five approaches in...Principally Analogous Multivariate (PAM) approach ............................................... 29 4.6.1 Introduction to the PAM approach

  3. Multivariate Modelling via Matrix Subordination

    DEFF Research Database (Denmark)

    Nicolato, Elisa

    stochastic volatility via time-change is quite ineffective when applied to the multivariate setting. In this work we propose a new class of models, which is obtained by conditioning a multivariate Brownian Motion to a so-called matrix subordinator. The obtained model-class encompasses the vast majority...

  4. Multivariate covariance generalized linear models

    DEFF Research Database (Denmark)

    Bonat, W. H.; Jørgensen, Bent

    2016-01-01

    We propose a general framework for non-normal multivariate data analysis called multivariate covariance generalized linear models, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link...... function combined with a matrix linear predictor involving known matrices. The method is motivated by three data examples that are not easily handled by existing methods. The first example concerns multivariate count data, the second involves response variables of mixed types, combined with repeated...... are fitted by using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of types of response variables and covariance structures, including multivariate extensions...

  5. Avoiding Title V permitting pitfalls

    Energy Technology Data Exchange (ETDEWEB)

    Laswell, D.L.

    1993-04-01

    Title V of the 1990 Clean Air Act Amendments requires states to implement new air operating permit programs. States have a great deal of flexibility in developing their permit programs. Industry should work now to ensure that state programs contain the favorable aspects of the federal regulations and do not contain more stringent requirements that are not required under the Clean Air Act. This article outlines areas of the permit program that have the potential to handicap industry`s ability to expand.

  6. 76 FR 78874 - Defense Federal Acquisition Regulation Supplement: Title 41 Positive Law Codification-Further...

    Science.gov (United States)

    2011-12-20

    ... Positive Law Codification--Further Implementation (DFARS Case 2012- D003) AGENCIES: Defense Acquisition... Defense Federal Acquisition Regulation Supplement to conform statutory titles to the new Positive Law Codification of Title 41, United States Code, ``Public Contracts.'' DATES: Comment Date: Comments on the...

  7. A primer of multivariate statistics

    CERN Document Server

    Harris, Richard J

    2014-01-01

    Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why

  8. Model Checking Multivariate State Rewards

    DEFF Research Database (Denmark)

    Nielsen, Bo Friis; Nielson, Flemming; Nielson, Hanne Riis

    2010-01-01

    We consider continuous stochastic logics with state rewards that are interpreted over continuous time Markov chains. We show how results from multivariate phase type distributions can be used to obtain higher-order moments for multivariate state rewards (including covariance). We also generalise ...... the treatment of eventuality to unbounded path formulae. For all extensions we show how to obtain closed form definitions that are straightforward to implement and we illustrate our development on a small example.......We consider continuous stochastic logics with state rewards that are interpreted over continuous time Markov chains. We show how results from multivariate phase type distributions can be used to obtain higher-order moments for multivariate state rewards (including covariance). We also generalise...

  9. Strategies for Industrial Multivariable Control

    DEFF Research Database (Denmark)

    Hangstrup, M.

    Multivariable control strategies well-suited for industrial applications are suggested. The strategies combine the practical advantages of conventional SISO control schemes and -technology with the potential of multivariable controllers. Special emphasis is put on parameter-varying systems whose...... dynamics and gains strongly depend upon one or more physical parameters characterizing the operating point. This class covers many industrial systems such as airplanes, ships, robots and process control systems. Power plant boilers are representatives for process control systems in general. The dynamics...

  10. Multivariable Intelligent Decoupling Control System and its Application

    Institute of Scientific and Technical Information of China (English)

    TianYou CHAI; Heng YUE

    2005-01-01

    Many industrial processes have compositive complexities including multivariable, strong coupling, nonlinearity, time-variant and operating condition variations. Combining multivariable adaptive decoupling control with neural networks, this paper presents a multivariable neural networkbased decoupling control algorithm. This control algorithm is integrated with distributed control technique and intelligent control technique, and a three-leveled intelligent decoupling control system consisting of basic control level, coordinating control level, and management and decision level is developed. The configuration and function of the control system are discussed in detail. This system has been successfully applied in ball mill pulverizing systems of 200MW power units, and remarkable benefits have been obtained.

  11. CBM split title in Alberta

    Energy Technology Data Exchange (ETDEWEB)

    Campbell, L.M. [EnCana Corp., Calgary, AB (Canada); Laurin, W.

    2006-07-01

    Coalbed methane (CBM) coal underlies most of central and southern Alberta. This article discussed disputes surrounding CBM ownership and split-titles. Historically, ownership of lands in Alberta implied possession and rights of all under- and overground substances. Surface estates are now typically separated from the subsurface estate, and subsurface estates are further divided either on the basis of substances or stratigraphically to create a split-title. Mineral severances are used to separate respective mineral rights among owners. While there is a relative certainty that under provincial Crown tenure CBM is included in natural gas tenure, there is currently no Canadian jurisprudence in respect of CBM entitlement on split-title private lands. Where compressed natural gas (CNG) and coal are separately held, and CBM ownership is not specifically addressed in the mineral severance, there is no Canadian law respecting CBM ownership. Resolution of ownership issues has proceeded on a case by case basis. Coal owners argue that there is a distinct interrelationship between CBM and its host coal strata. Gas owners argue that the chemical composition of CBM is identical to CNG, and that the recovery method is similar to that of CNG. Courts have historically applied the vernacular test to resolve mineral substance ownership disputes, which considers the meanings of the word coal and coalbed methane as defined by industry. The most recent and relevant application of the vernacular test were the Borys/Anderson, which effectively implemented a gas-oil interface ownership determination, which if applied to a coal grant or reservation, may lead to the conclusion that the coal strata includes CBM. It was concluded that there are 26,000 individual mineral owners in Alberta that may become involved in CBM litigation. and could become parties to litigation. refs., tabs., figs.

  12. Multivariate analysis in thoracic research.

    Science.gov (United States)

    Mengual-Macenlle, Noemí; Marcos, Pedro J; Golpe, Rafael; González-Rivas, Diego

    2015-03-01

    Multivariate analysis is based in observation and analysis of more than one statistical outcome variable at a time. In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest. The development of multivariate methods emerged to analyze large databases and increasingly complex data. Since the best way to represent the knowledge of reality is the modeling, we should use multivariate statistical methods. Multivariate methods are designed to simultaneously analyze data sets, i.e., the analysis of different variables for each person or object studied. Keep in mind at all times that all variables must be treated accurately reflect the reality of the problem addressed. There are different types of multivariate analysis and each one should be employed according to the type of variables to analyze: dependent, interdependence and structural methods. In conclusion, multivariate methods are ideal for the analysis of large data sets and to find the cause and effect relationships between variables; there is a wide range of analysis types that we can use.

  13. 42 CFR 476.86 - Correlation of Title XI functions with Title XVIII functions.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 4 2010-10-01 2010-10-01 false Correlation of Title XI functions with Title XVIII functions. 476.86 Section 476.86 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF...) Qio Review Functions § 476.86 Correlation of Title XI functions with Title XVIII functions. (a...

  14. Multivariate Generalized Multiscale Entropy Analysis

    Directory of Open Access Journals (Sweden)

    Anne Humeau-Heurtier

    2016-11-01

    Full Text Available Multiscale entropy (MSE was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii the computation of the sample entropy for each coarse-grained time series. A refined composite MSE (rcMSE—based on the same steps as MSE—also exists. Compared to MSE, rcMSE increases the accuracy of entropy estimation and reduces the probability of inducing undefined entropy for short time series. The multivariate versions of MSE (MMSE and rcMSE (MrcMSE have also been introduced. In the coarse-graining step used in MSE, rcMSE, MMSE, and MrcMSE, the mean value is used to derive representations of the original data at different resolutions. A generalization of MSE was recently published, using the computation of different moments in the coarse-graining procedure. However, so far, this generalization only exists for univariate signals. We therefore herein propose an extension of this generalized MSE to multivariate data. The multivariate generalized algorithms of MMSE and MrcMSE presented herein (MGMSE and MGrcMSE, respectively are first analyzed through the processing of synthetic signals. We reveal that MGrcMSE shows better performance than MGMSE for short multivariate data. We then study the performance of MGrcMSE on two sets of short multivariate electroencephalograms (EEG available in the public domain. We report that MGrcMSE may show better performance than MrcMSE in distinguishing different types of multivariate EEG data. MGrcMSE could therefore supplement MMSE or MrcMSE in the processing of multivariate datasets.

  15. Multivariable modeling and multivariate analysis for the behavioral sciences

    CERN Document Server

    Everitt, Brian S

    2009-01-01

    Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring the types and design of behavioral studies. He also explains how models are used in the analysis of data. After describing graphical methods, such as scatterplot matrices, the text covers simple linear regression, locally weighted regression, multip

  16. Oversight on Family Planning Programs under Title X of the Public Health Service Act, 1984. Hearings before the Subcommittee on Family and Human Services of the Committee on Labor and Human Resources. United States Senate, Ninety-Eighth Congress, Second Session on Consideration of the Reauthorization of Title X of the Public Health Service Act, the Population Research and Voluntary Family Planning Programs (April 5 and May 1, 1984).

    Science.gov (United States)

    Congress of the U.S., Washington, DC. Senate Committee on Labor and Human Resources.

    This document provides witness testimony and prepared statements from two sessions of the congressional hearing called to consider the reauthorization of Title X of the Public Health Service Act, the Population Research and Voluntary Family Planning Programs. Testimony is provided from the federal administration, state officials, representatives…

  17. Applied multivariate statistics with R

    CERN Document Server

    Zelterman, Daniel

    2015-01-01

    This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the B...

  18. Multivariate Modelling via Matrix Subordination

    DEFF Research Database (Denmark)

    Nicolato, Elisa

    Extending the vast library of univariate models to price multi-asset derivatives is still a challenge in the field of Quantitative Finance. Within the literature on multivariate modelling, a dichotomy may be noticed. On one hand, the focus has been on the construction of models displaying...... stochastic correlation within the framework of discussion processes (see e.g. Pigorsh and Stelzer (2008), Hubalek and Nicolato (2008) and Zhu (2000)). On the other hand a number of authors have proposed multivariate Levy models, which allow for flexible modelling of returns, but at the expenses of a constant...... correlation structure (see e.g. Leoni and Schoutens (2007) and Leoni and Schoutens (2007) among others). Tractable multivariate models displaying flexible and stochastic correlation structures combined with jumps is proving to be rather problematic. In particular, the classical technique of introducing...

  19. Multivariate stochastic simulation with subjective multivariate normal distributions

    Science.gov (United States)

    P. J. Ince; J. Buongiorno

    1991-01-01

    In many applications of Monte Carlo simulation in forestry or forest products, it may be known that some variables are correlated. However, for simplicity, in most simulations it has been assumed that random variables are independently distributed. This report describes an alternative Monte Carlo simulation technique for subjectively assesed multivariate normal...

  20. Data base for the analysis of compositional characteristics of coal seams and macerals. Final report - Part 10. Variability in the inorganic content of United States' coals: a multivariate statistical study

    Energy Technology Data Exchange (ETDEWEB)

    Glick, D.C.; Davis, A.

    1984-07-01

    The multivariate statistical techniques of correlation coefficients, factor analysis, and cluster analysis, implemented by computer programs, can be used to process a large data set and produce a summary of relationships between variables and between samples. These techniques were used to find relationships for data on the inorganic constituents of US coals. Three hundred thirty-five whole-seam channel samples from six US coal provinces were analyzed for inorganic variables. After consideration of the attributes of data expressed on ash basis and whole-coal basis, it was decided to perform complete statistical analyses on both data sets. Thirty variables expressed on whole-coal basis and twenty-six variables expressed on ash basis were used. For each inorganic variable, a frequency distribution histogram and a set of summary statistics was produced. These were subdivided to reveal the manner in which concentrations of inorganic constituents vary between coal provinces and between coal regions. Data collected on 124 samples from three stratigraphic groups (Pottsville, Monongahela, Allegheny) in the Appalachian region were studied using analysis of variance to determine degree of variability between stratigraphic levels. Most variables showed differences in mean values between the three groups. 193 references, 71 figures, 54 tables.

  1. Building multivariate systems biology models

    NARCIS (Netherlands)

    Kirwan, G.M.; Johansson, E.; Kleemann, R.; Verheij, E.R.; Wheelock, A.M.; Goto, S.; Trygg, J.; Wheelock, C.E.

    2012-01-01

    Systems biology methods using large-scale "omics" data sets face unique challenges: integrating and analyzing near limitless data space, while recognizing and removing systematic variation or noise. Herein we propose a complementary multivariate analysis workflow to both integrate "omics" data from

  2. Multivariate supOU processes

    DEFF Research Database (Denmark)

    Barndorff-Nielsen, Ole Eiler; Stelzer, Robert

    2011-01-01

    Univariate superpositions of Ornstein–Uhlenbeck-type processes (OU), called supOU processes, provide a class of continuous time processes capable of exhibiting long memory behavior. This paper introduces multivariate supOU processes and gives conditions for their existence and finiteness of momen...

  3. The Multivariate Gaussian Probability Distribution

    DEFF Research Database (Denmark)

    Ahrendt, Peter

    2005-01-01

    This technical report intends to gather information about the multivariate gaussian distribution, that was previously not (at least to my knowledge) to be found in one place and written as a reference manual. Additionally, some useful tips and tricks are collected that may be useful in practical...

  4. 40 CFR 62.15400 - When must I submit a title V permit application for my existing small municipal waste combustion...

    Science.gov (United States)

    2010-07-01

    ... application for my existing small municipal waste combustion unit? 62.15400 Section 62.15400 Protection of... Combustion Units Constructed on or Before August 30, 1999 Title V Requirements § 62.15400 When must I submit a title V permit application for my existing small municipal waste combustion unit? (a) You must...

  5. Ships Docked at Title V Permitted Facilities

    Science.gov (United States)

    This document may be of assistance in applying the Title V air operating permit regulations. This document is part of the Title V Policy and Guidance Database available at www2.epa.gov/title-v-operating-permits/title-v-operating-permit-policy-and-guidance-document-index. Some documents in the database are a scanned or retyped version of a paper photocopy of the original. Although we have taken considerable effort to quality assure the documents, some may contain typographical errors. Contact the office that issued the document if you need a copy of the original.

  6. 24 CFR 203.387 - Acceptability of customary title evidence.

    Science.gov (United States)

    2010-04-01

    ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Acceptability of customary title... AUTHORITIES SINGLE FAMILY MORTGAGE INSURANCE Contract Rights and Obligations Property Title Transfers and Title Waivers § 203.387 Acceptability of customary title evidence. If the title and title evidence are...

  7. Comparing the characteristics of highly cited titles and highly alted titles

    Energy Technology Data Exchange (ETDEWEB)

    Didegah, F.; Bowman, T.D.; Bowman, S.; Hartley, J.

    2016-07-01

    This study examines differences in the types of titles for articles that show high altmetric activity (highly alted articles) versus highly cited articles. This work expands on previous research on document titles in combination with a grounded theory approach to develop a codebook in which articles were manually coded based on 11 characteristics. The results show that there are differences and similarities in titles across many of the examined characteristics; highly cited titles and highly mentioned titles on Wikipedia have some similar characteristics such as they have the the highest percentage of substantive words; in addition, there are no or very few titles referencing outside or with humor/lightness on both platforms. Twitter and Facebook also showed some similarities having the highest percentage of humorous/light titles and lowest percentage of substantive words in their titles. (Author)

  8. Multivariable operator-valued Nevanlinna-Pick interpolation: a survey

    NARCIS (Netherlands)

    Ball, J.A.; ter Horst, S.

    2010-01-01

    The theory of Nevanlinna-Pick and Carathéodory-Fejér interpolation for matrix- and operator-valued Schur class functions on the unit disk is now well established. Recent work has produced extensions of the theory to a variety of multivariable settings, including the ball and the polydisk (both commu

  9. A general framework for multivariate multi-index drought prediction based on Multivariate Ensemble Streamflow Prediction (MESP)

    Science.gov (United States)

    Hao, Zengchao; Hao, Fanghua; Singh, Vijay P.

    2016-08-01

    Drought is among the costliest natural hazards worldwide and extreme drought events in recent years have caused huge losses to various sectors. Drought prediction is therefore critically important for providing early warning information to aid decision making to cope with drought. Due to the complicated nature of drought, it has been recognized that the univariate drought indicator may not be sufficient for drought characterization and hence multivariate drought indices have been developed for drought monitoring. Alongside the substantial effort in drought monitoring with multivariate drought indices, it is of equal importance to develop a drought prediction method with multivariate drought indices to integrate drought information from various sources. This study proposes a general framework for multivariate multi-index drought prediction that is capable of integrating complementary prediction skills from multiple drought indices. The Multivariate Ensemble Streamflow Prediction (MESP) is employed to sample from historical records for obtaining statistical prediction of multiple variables, which is then used as inputs to achieve multivariate prediction. The framework is illustrated with a linearly combined drought index (LDI), which is a commonly used multivariate drought index, based on climate division data in California and New York in the United States with different seasonality of precipitation. The predictive skill of LDI (represented with persistence) is assessed by comparison with the univariate drought index and results show that the LDI prediction skill is less affected by seasonality than the meteorological drought prediction based on SPI. Prediction results from the case study show that the proposed multivariate drought prediction outperforms the persistence prediction, implying a satisfactory performance of multivariate drought prediction. The proposed method would be useful for drought prediction to integrate drought information from various sources

  10. Visualization of Multivariate Metabolomic Data

    Institute of Scientific and Technical Information of China (English)

    ZHOU Jun; CAO Bei; ZHENG Tian; LIU Lin-sheng; GUO Sheng; DUAN Jin-ao; AA Ji-ye; WANG Guang-ji; ZHANG Feng-yi; GU Rong-rong; WANG Xin-wen; ZHAO Chun-yan; LI Meng-jie; SHI Jian

    2011-01-01

    Objective Although principal components analysis profiles greatly facilitate the visualization and interpretation of the multivariate data,the quantitative concepts in both scores plot and loading plot are rather obscure.This article introduced three profiles that assisted the better understanding of metabolomic data.Methods The discriminatory profile,heat map,and statistic profile were developed to visualize the multivariate data obtained from high-throughput GC-TOF-MS analysis.Results The discriminatory profile and heat map obviously showed the discriminatory metabolites between the two groups,while the statistic profile showed the potential markers of statistic significance.Conclusion The three types of profiles greatly facilitate our understanding of the metabolomic data and the identification of the potential markers.

  11. Flotation control -- A multivariable stabilizer

    Energy Technology Data Exchange (ETDEWEB)

    Schubert, J.H.; Henning, R.G.D.; Hulbert, D.G.; Craig, I.K. [Mintek, Randburg (South Africa)

    1995-12-31

    This paper presents a stabilizing controller for flotation plants which uses a quasi-multivariable technique. The controller monitors all the levels in the plant, and by anticipating interactions between various parts of the plant, is able to stabilize the plant far more successfully than the normal plant control. Once stabilizing control has been achieved, optimization of the process becomes easier and more sustainable. An estimate of the improvement in metallurgical performance is made and a singular value analysis was conducted to verify that the multivariable algorithm will theoretically control better than a collection of individual PID loops. Metallurgical results are presented to show that the improvements are attainable in practice. Control by the Mintek algorithm was alternated with normal plant control, to show that the improvements are statistically significant.

  12. Sparse Linear Identifiable Multivariate Modeling

    DEFF Research Database (Denmark)

    Henao, Ricardo; Winther, Ole

    2011-01-01

    In this paper we consider sparse and identifiable linear latent variable (factor) and linear Bayesian network models for parsimonious analysis of multivariate data. We propose a computationally efficient method for joint parameter and model inference, and model comparison. It consists of a fully...... Bayesian hierarchy for sparse models using slab and spike priors (two-component δ-function and continuous mixtures), non-Gaussian latent factors and a stochastic search over the ordering of the variables. The framework, which we call SLIM (Sparse Linear Identifiable Multivariate modeling), is validated...... and bench-marked on artificial and real biological data sets. SLIM is closest in spirit to LiNGAM (Shimizu et al., 2006), but differs substantially in inference, Bayesian network structure learning and model comparison. Experimentally, SLIM performs equally well or better than LiNGAM with comparable...

  13. Multivariate Evolutionary Analyses in Astrophysics

    CERN Document Server

    Fraix-Burnet, Didier

    2011-01-01

    The large amount of data on galaxies, up to higher and higher redshifts, asks for sophisticated statistical approaches to build adequate classifications. Multivariate cluster analyses, that compare objects for their global similarities, are still confidential in astrophysics, probably because their results are somewhat difficult to interpret. We believe that the missing key is the unavoidable characteristics in our Universe: evolution. Our approach, known as Astrocladistics, is based on the evolutionary nature of both galaxies and their properties. It gathers objects according to their "histories" and establishes an evolutionary scenario among groups of objects. In this presentation, I show two recent results on globular clusters and earlytype galaxies to illustrate how the evolutionary concepts of Astrocladistics can also be useful for multivariate analyses such as K-means Cluster Analysis.

  14. Nonnegative Decomposition of Multivariate Information

    CERN Document Server

    Williams, Paul L

    2010-01-01

    Of the various attempts to generalize information theory to multiple variables, the most widely utilized, interaction information, suffers from the problem that it is sometimes negative. Here we reconsider from first principles the general structure of the information that a set of sources provides about a given variable. We begin with a new definition of redundancy as the minimum information that any source provides about each possible outcome of the variable, averaged over all possible outcomes. We then show how this measure of redundancy induces a lattice over sets of sources that clarifies the general structure of multivariate information. Finally, we use this redundancy lattice to propose a definition of partial information atoms that exhaustively decompose the Shannon information in a multivariate system in terms of the redundancy between synergies of subsets of the sources. Unlike interaction information, the atoms of our partial information decomposition are never negative and always support a clear i...

  15. How property title impacts urban consolidation

    DEFF Research Database (Denmark)

    Easthope, Hazel; Warnken, Jan; Sherry, Cathy

    2014-01-01

    Continuing urbanisation is triggering an increase in multi-titled housing internationally. This trend has given rise to a substantial research interest in the social consequences of higher density living. Little enquiry, however, has been directed to examining how property title subdivisions gene...

  16. Land Titles and Rice Production in Vietnam

    DEFF Research Database (Denmark)

    Van Den Broeck, Katleen; Newman, Carol; Tarp, Finn

    In most of the empirical literature on land titling, the household is regarded as unitary, and land rights are found to have ambiguous effects on land allocation, investment and productivity. Using data from 12 provinces in Vietnam, we diversify land titles, and show in a household fixed effects ...

  17. Land Titles and Rice Production in Vietnam

    DEFF Research Database (Denmark)

    Van Den Broeck, Katleen; Newman, Carol; Tarp, Finn

    analysis of plot level rice yields that land titles are indeed important. Only exclusively held titles have the expected positive effects, and the positive effect on yields is found in male headed households. Furthermore, a household level rice yield function reveals that exclusive user rights...

  18. Explorations: Title III ESEA Programs in Iowa.

    Science.gov (United States)

    Iowa State Dept. of Public Instruction, Des Moines.

    Seventy projects funded by the Elementary and Secondary Education Act, Title III, and providing the funds to public school districts to demonstrate the feasibility of educational innovations, are described in this document about Iowa Title III exemplary programs. Projects are subdivided according to planning grants, operational grants, guidance…

  19. Precision and Recall in Title Keyword Searches.

    Science.gov (United States)

    McJunkin, Monica Cahill

    This study examines precision and recall for title and keyword searches performed in the "FirstSearch" WorldCat database when keywords are used with and without adjacency of terms specified. A random sample of 68 titles in economics were searched in the OCLC (Online Computer Library Center) Online Union Catalog in order to obtain their…

  20. Land Titles and Rice Production in Vietnam

    DEFF Research Database (Denmark)

    Van Den Broeck, Katleen; Newman, Carol; Tarp, Finn

    In most of the empirical literature on land titling, the household is regarded as unitary, and land rights are found to have ambiguous effects on land allocation, investment and productivity. Using data from 12 provinces in Vietnam, we diversify land titles, and show in a household fixed effects...

  1. Land Titles and Rice Production in Vietnam

    DEFF Research Database (Denmark)

    Van Den Broeck, Katleen; Newman, Carol; Tarp, Finn

    In most of the empirical literature on land titling, the household is regarded as unitary, and land rights are found to have ambiguous effects on land allocation, investment and productivity. Using data from 12 provinces in Vietnam, we diversify land titles, and show in a household fixed effects...

  2. Multivariate supOU processes

    DEFF Research Database (Denmark)

    Barndorff-Nielsen, Ole Eiler; Stelzer, Robert

    Univariate superpositions of Ornstein-Uhlenbeck (OU) type processes, called supOU processes, provide a class of continuous time processes capable of exhibiting long memory behaviour. This paper introduces multivariate supOU processes and gives conditions for their existence and finiteness...... of OU type processes, which has been suggested in [2] in the univariate case. Finally, as an important special case, we introduce positive semi-definite supOU processes....

  3. Estadística multivariable

    OpenAIRE

    Polo Miranda, Carlos

    2002-01-01

    Este libro ha sido elaborado y editado para los estudios de segundo ciclo de Ingeniería de Organización Industrial, que se imparten en la ETSEIT de la UPC. La estadística multivariable permite el análisis y la interpretación del comportamiento de múltiples variables de interés, asociadas a un mismo individuo, de las que se dispone de un gran número de observaciones.

  4. Multivariate Adaptive Regression Splines (Preprint)

    Science.gov (United States)

    1990-08-01

    characteristics of olive oils as a function of production year by multivariate methods. La Revista Italiana delle Sostanze Grasse, 60, Oct. . Friedman, J...Projection pursuit 76, 817-823. Friedman, J. H. and Wright, M. J. (1981). A nested partitioni: integration. ACM Trans. Math. Software, March. simonious...data. Proc. 1964 ACM Nat. Conf., 517-524. Shumaker, L. L. (1976). Fitting surfaces to scattered data. In Approximation Theory III, G. G. Lorentz, C

  5. Cultural Elements of English Movie Title

    Institute of Scientific and Technical Information of China (English)

    张琼

    2013-01-01

    Movie title is the name of a movie which to some extent determines the audience ’s choice to watch the movie or not. English movie title, as a special kind of English language, reflects language and culture of the specific English country. To better understand and appreciate the movie, it is essential to understand the cultural elements of the English movie title. The thesis with start with the introduction of movie title and its naming approaches, then analyze the three cultural elements that is historical, reli-gious and linguistic cultural elements in English movie title in the hope of providing helpful background knowledge for Chinese audience to better appreciate the English culture.

  6. Title III of the Higher Education Act of 1965: Hearings Before the Subcommittee on Limitations of Contracted and Delegated Authority of the Committee on the Judiciary, United States Senate, Ninety-Sixth Congress, First Session (November 14 and December 12, 1979).

    Science.gov (United States)

    Congress of the U.S., Washington, DC. Senate Committee on the Judiciary.

    Oversight hearings by the U.S. Senate Committee on the Judiciary on Title III of the Higher Education Act of 1965, the strengthening developing institutions program, are presented. Testimony includes results of investigations of implementation of Title III. Problems in program administration and compliance by schools are discussed. Amendments to…

  7. Local Whittle estimation of multivariate fractionally integrated processes

    DEFF Research Database (Denmark)

    Nielsen, Frank

    This paper derives a semiparametric estimator of multivariate fractionally integrated processes covering both stationary and non-stationary values of d. We utilize the notion of the extended discrete Fourier transform and periodogram to extend the multivariate local Whittle estimator of Shimotsu ...... analysis of log spot exchange rates. We find that the log spot exchange rates of Germany, United Kingdom, Japan, Canada, France, Italy, and Switzerland against the US Dollar for the period January 1974 until December 2001 are well decribed as I (1) processes....

  8. Simulation of multivariate diffusion bridges

    DEFF Research Database (Denmark)

    Bladt, Mogens; Finch, Samuel; Sørensen, Michael

    We propose simple methods for multivariate diffusion bridge simulation, which plays a fundamental role in simulation-based likelihood and Bayesian inference for stochastic differential equations. By a novel application of classical coupling methods, the new approach generalizes a previously...... proposed simulation method for one-dimensional bridges to the mulit-variate setting. First a method of simulating approzimate, but often very accurate, diffusion bridges is proposed. These approximate bridges are used as proposal for easily implementable MCMC algorithms that produce exact diffusion bridges...

  9. Likelihood estimators for multivariate extremes

    KAUST Repository

    Huser, Raphaël

    2015-11-17

    The main approach to inference for multivariate extremes consists in approximating the joint upper tail of the observations by a parametric family arising in the limit for extreme events. The latter may be expressed in terms of componentwise maxima, high threshold exceedances or point processes, yielding different but related asymptotic characterizations and estimators. The present paper clarifies the connections between the main likelihood estimators, and assesses their practical performance. We investigate their ability to estimate the extremal dependence structure and to predict future extremes, using exact calculations and simulation, in the case of the logistic model.

  10. Aspects of multivariate statistical theory

    CERN Document Server

    Muirhead, Robb J

    2009-01-01

    The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "". . . the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to pen

  11. Exploratory and multivariate data analysis

    CERN Document Server

    Jambu, Michel

    1991-01-01

    With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques.Key Features* Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones* Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data a

  12. Multivariate residues and maximal unitarity

    Science.gov (United States)

    Søgaard, Mads; Zhang, Yang

    2013-12-01

    We extend the maximal unitarity method to amplitude contributions whose cuts define multidimensional algebraic varieties. The technique is valid to all orders and is explicitly demonstrated at three loops in gauge theories with any number of fermions and scalars in the adjoint representation. Deca-cuts realized by replacement of real slice integration contours by higher-dimensional tori encircling the global poles are used to factorize the planar triple box onto a product of trees. We apply computational algebraic geometry and multivariate complex analysis to derive unique projectors for all master integral coefficients and obtain compact analytic formulae in terms of tree-level data.

  13. Essentials of multivariate data analysis

    CERN Document Server

    Spencer, Neil H

    2013-01-01

    ""… this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. … could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics.""-The American Statistician, February 2015

  14. What's in a title? An assessment of whether randomized controlled trial in a title means that it is one.

    Science.gov (United States)

    Koletsi, Despina; Pandis, Nikolaos; Polychronopoulou, Argy; Eliades, Theodore

    2012-06-01

    In this study, we aimed to investigate whether studies published in orthodontic journals and titled as randomized clinical trials are truly randomized clinical trials. A second objective was to explore the association of journal type and other publication characteristics on correct classification. American Journal of Orthodontics and Dentofacial Orthopedics, European Journal of Orthodontics, Angle Orthodontist, Journal of Orthodontics, Orthodontics and Craniofacial Research, World Journal of Orthodontics, Australian Orthodontic Journal, and Journal of Orofacial Orthopedics were hand searched for clinical trials labeled in the title as randomized from 1979 to July 2011. The data were analyzed by using descriptive statistics, and univariable and multivariable examinations of statistical associations via ordinal logistic regression modeling (proportional odds model). One hundred twelve trials were identified. Of the included trials, 33 (29.5%) were randomized clinical trials, 52 (46.4%) had an unclear status, and 27 (24.1%) were not randomized clinical trials. In the multivariable analysis among the included journal types, year of publication, number of authors, multicenter trial, and involvement of statistician were significant predictors of correctly classifying a study as a randomized clinical trial vs unclear and not a randomized clinical trial. From 112 clinical trials in the orthodontic literature labeled as randomized clinical trials, only 29.5% were identified as randomized clinical trials based on clear descriptions of appropriate random number generation and allocation concealment. The type of journal, involvement of a statistician, multicenter trials, greater numbers of authors, and publication year were associated with correct clinical trial classification. This study indicates the need of clear and accurate reporting of clinical trials and the need for educating investigators on randomized clinical trial methodology. Copyright © 2012 American Association

  15. Multivariate image analysis in biomedicine.

    Science.gov (United States)

    Nattkemper, Tim W

    2004-10-01

    In recent years, multivariate imaging techniques are developed and applied in biomedical research in an increasing degree. In research projects and in clinical studies as well m-dimensional multivariate images (MVI) are recorded and stored to databases for a subsequent analysis. The complexity of the m-dimensional data and the growing number of high throughput applications call for new strategies for the application of image processing and data mining to support the direct interactive analysis by human experts. This article provides an overview of proposed approaches for MVI analysis in biomedicine. After summarizing the biomedical MVI techniques the two level framework for MVI analysis is illustrated. Following this framework, the state-of-the-art solutions from the fields of image processing and data mining are reviewed and discussed. Motivations for MVI data mining in biology and medicine are characterized, followed by an overview of graphical and auditory approaches for interactive data exploration. The paper concludes with summarizing open problems in MVI analysis and remarks upon the future development of biomedical MVI analysis.

  16. An architecture for implementation of multivariable controllers

    DEFF Research Database (Denmark)

    Niemann, Hans Henrik; Stoustrup, Jakob

    1999-01-01

    august 2002 Abstract An architecture for implementation of multivariable controllers is presented in this paper. The architecture is based on the Youla-Jabr-Bongiorno-Kucera parameterization of all stabilizing controllers. By using this architecture for implementation of multivariable controllers...

  17. Multivariate analysis of bistable flow; Analisis multivariable de flujo biestable

    Energy Technology Data Exchange (ETDEWEB)

    Castillo D, R.; Ortiz V, J.; Ruiz E, J.A. [ININ, 52750 La Marquesa, Estado de Mexico (Mexico); Calleros M, G. [CFE, Alto LUcero, Veracruz (Mexico)]. e-mail: rcd@nuclear.inin.mx

    2007-07-01

    In this work a bistable flow analysis with an autoregressive multivariate analysis is presented. The bistable flow happens in the boiling water nuclear reactors with external recirculation pumps, and it is presented in the bolster of discharge of the recirculation knot toward the central jet pumps. The phenomenon has two flow patterns, one with greater hydraulic lost that the other one. To irregular time intervals, the flow changes pattern in a random way. The program NOISE that it is in development in the ININ was used and that it uses a autoregressive multivariate model to determine the autoregression coefficients that contain the dynamic information of the signals and that later on they are used to obtain the relative contribution of power, which allows to settle down the influence that exists among the different analyzed variables. It was analyzed an event of bistable flow happened in a BWR5 to operation conditions of 80% power and 69% of total flow through the core. The signal flow noise in each one of the 20 jet pumps, of the power of a monitor of power average, of the motive flows of recirculation, of the controllers and of the position of the control valves in the knots, of the signals of the instrumentation of the recirculation pumps (power, current, pressure drop and suction temperature), and of the buses of where they take the feeding voltage the motors of the pumps. Among the main results it was found that the phenomenon of bistable flow affects to the pressure drop in the recirculation pump of the knot in that occur, what affects to the motor flow in the knot by what the opening system of the flow control valve of recirculation of the knot responds. (Author)

  18. Service Locator - Family Planning Title X

    Data.gov (United States)

    U.S. Department of Health & Human Services — This locator tool will help you find Title X family planning centers that provide high quality and cost-effective family planning and related preventive health...

  19. Korean Friend Receiving Title of Friendship Ambassador

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    The CPAFFC held a ceremony on October 8, 2003 to confer the title of Friendship Ambassador upon Korean friend Lee Ik Soon in recognition of his outstanding contributions to the cause of Sino-Korean friendship.

  20. Current Actions Related to Title V

    Science.gov (United States)

    This site will provide basic information on clean air permitting under the title V operating permits program, provide access to state and regional permitting programs, and maintain access to proposed and final regulatory requirements.

  1. Packaging Differences of News Content on Title

    National Research Council Canada - National Science Library

    Atiqa Sabardila; I Dewa Putu Wijana; Suhandano

    2017-01-01

    This study investigates anything that underlie the differences of the variation on the packaging variation of the news content on the title that is based on the topicalization, the materials of news...

  2. 77 FR 52116 - Title VI; Final Circular

    Science.gov (United States)

    2012-08-28

    .... Department of Justice advised Federal agencies in late 2001, ``although Sandoval foreclosed private judicial.... Recipients will be required to submit, with the Title VI Program, a copy of the Board resolution,...

  3. Code of Federal Regulations Title 21

    Data.gov (United States)

    U.S. Department of Health & Human Services — This database contains the most recent revision from the Government Printing Office (GPO) of the Code of Federal Regulations (CFR) Title 21 - Food and Drugs.

  4. Code of Federal Regulations Title 21

    Data.gov (United States)

    U.S. Department of Health & Human Services — This database contains the most recent revision from the Government Printing Office (GPO) of the Code of Federal Regulations (CFR) Title 21 - Food and Drugs.

  5. A kernel version of multivariate alteration detection

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg; Vestergaard, Jacob Schack

    2013-01-01

    Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations.......Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations....

  6. Multivariate normal-Laplace distribution and processes

    Directory of Open Access Journals (Sweden)

    Kanichukattu Korakutty Jose

    2014-12-01

    Full Text Available The normal-Laplace distribution is considered and its properties are discussed. A multivariate normal-Laplace distribution is introduced and its properties are studied. First order autoregressive processes with these stationary marginal distributions are developed and studied. A generalized multivariate normal-Laplace distribution is introduced. Multivariate geometric normal-Laplace distribution and multivariate geometric generalized normal-Laplace distributions are introduced and their properties are studied. Estimation of parameters and some applications are also discussed.

  7. Multivariate strategies in functional magnetic resonance imaging

    DEFF Research Database (Denmark)

    Hansen, Lars Kai

    2007-01-01

    We discuss aspects of multivariate fMRI modeling, including the statistical evaluation of multivariate models and means for dimensional reduction. In a case study we analyze linear and non-linear dimensional reduction tools in the context of a `mind reading' predictive multivariate fMRI model....

  8. Multivariate extensions of expectiles risk measures

    Directory of Open Access Journals (Sweden)

    Maume-Deschamps Véronique

    2017-01-01

    Full Text Available This paper is devoted to the introduction and study of a new family of multivariate elicitable risk measures. We call the obtained vector-valued measures multivariate expectiles. We present the different approaches used to construct our measures. We discuss the coherence properties of these multivariate expectiles. Furthermore, we propose a stochastic approximation tool of these risk measures.

  9. Observability of multivariate differential embeddings

    Energy Technology Data Exchange (ETDEWEB)

    Aguirre, Luis Antonio [Laboratorio de Modelagem, Analise e Controle de Sistemas Nao Lineares, Departamento de Engenharia Eletronica, Universidade Federeal de Minas Gerais, Av. Antonio Carlos 6627, 31270-901 Belo Horizonte, MG (Brazil); Letellier, Christophe [Universite de Rouen-CORIA UMR 6614, Av. de l' Universite, BP 12, F-76801 Saint-Etienne du Rouvray Cedex (France)

    2005-07-15

    The present paper extends some results recently developed for the analysis of observability in nonlinear dynamical systems. The aim of the paper is to address the problem of embedding an attractor using more than one observable. A multivariate nonlinear observability matrix is proposed which includes the monovariable nonlinear and linear observability matrices as particular cases. Using the developed framework and a number of worked examples, it is shown that the choice of embedding coordinates is critical. Moreover, in some cases, to reconstruct the dynamics using more than one observable could be worse than to reconstruct using a scalar measurement. Finally, using the developed framework it is shown that increasing the embedding dimension, observability problems diminish and can even be eliminated. This seems to be a physically meaningful interpretation of the Takens embedding theorem.

  10. Multivariate Analyis of Swap Bribery

    CERN Document Server

    Dorn, Britta

    2010-01-01

    We consider the computational complexity of a problem modeling bribery in the context of voting systems. In the scenario of Swap Bribery, each voter assigns a certain price for swapping the positions of two consecutive candidates in his preference ranking. The question is whether it is possible, without exceeding a given budget, to bribe the voters in a way that the preferred candidate wins in the election. We initiate a parameterized and multivariate complexity analysis of Swap Bribery, focusing on the case of k-approval. We investigate how different cost functions affect the computational complexity of the problem. We identify a special case of k-approval for which the problem can be solved in polynomial time, whereas we prove NP-hardness for a slightly more general scenario. We obtain fixed-parameter tractability as well as W[1]-hardness results for certain natural parameters.

  11. Acoustic multivariate condition monitoring - AMCM

    Energy Technology Data Exchange (ETDEWEB)

    Rosenhave, P.E. [Vestfold College, Maritime Dept., Toensberg (Norway)

    1997-12-31

    In Norway, Vestfold College, Maritime Department presents new opportunities for non-invasive, on- or off-line acoustic monitoring of rotating machinery such as off-shore pumps and diesel engines. New developments within acoustic sensor technology coupled with chemometric data analysis of complex signals now allow condition monitoring of hitherto unavailable flexibility and diagnostic specificity. Chemometrics paired with existing knowledge yields a new and powerful tool for condition monitoring. By the use of multivariate techniques and acoustics it is possible to quantify wear and tear as well as predict the performance of working components in complex machinery. This presentation describes the AMCM method and one result of a feasibility study conducted onboard the LPG/C `Norgas Mariner` owned by Norwegian Gas Carriers as (NGC), Oslo. (orig.) 6 refs.

  12. Multivariate Longitudinal Analysis with Bivariate Correlation Test.

    Science.gov (United States)

    Adjakossa, Eric Houngla; Sadissou, Ibrahim; Hounkonnou, Mahouton Norbert; Nuel, Gregory

    2016-01-01

    In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using the EM algorithm, we suggest more general expressions of the model's parameters estimators. These estimators can be used in the framework of the multivariate longitudinal data analysis as well as in the more general context of the analysis of multivariate multilevel data. By using a likelihood ratio test, we test the significance of the correlations between the random effects of two dependent variables of the model, in order to investigate whether or not it is useful to model these dependent variables jointly. Simulation studies are done to assess both the parameter recovery performance of the EM estimators and the power of the test. Using two empirical data sets which are of longitudinal multivariate type and multivariate multilevel type, respectively, the usefulness of the test is illustrated.

  13. To Attract or to Inform:What Are Titles For?

    Institute of Scientific and Technical Information of China (English)

    James Hartley

    2004-01-01

    @@ This paper critiques some titles in journal articles for being misleading and it argues that titles need to be informative. Examples are given of work on measuring the effectiveness of titles in two areas-sentence structure and reader comprehension - and the paper concludes with brief comments on the effectiveness of book titles.

  14. To Attract or to Inform: What Are Titles For?

    Institute of Scientific and Technical Information of China (English)

    James; Hartley

    2004-01-01

      This paper critiques some titles in journal articles for being misleading and it argues that titles need to be informative. Examples are given of work on measuring the effectiveness of titles in two areas-sentence structure and reader comprehension - and the paper concludes with brief comments on the effectiveness of book titles.……

  15. 12 CFR 611.1137 - Title VIII service corporations.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Title VIII service corporations. 611.1137... Organizations § 611.1137 Title VIII service corporations. (a) What is a title VIII service corporation? A title VIII service corporation is a service corporation organized for the purpose of exercising...

  16. Common predictor effects for multivariate longitudinal data

    OpenAIRE

    Jia, Juan; Weiss, Robert E.

    2009-01-01

    Multivariate outcomes measured longitudinally over time are common in medicine, public health, psychology and sociology. The typical (saturated) longitudinal multivariate regression model has a separate set of regression coefficients for each outcome. However, multivariate outcomes are often quite similar and many outcomes can be expected to respond similarly to changes in covariate values. Given a set of outcomes likely to share common covariate effects, we propose the Clustered Outcome COmm...

  17. Multivariate pluvial flood damage models

    Energy Technology Data Exchange (ETDEWEB)

    Van Ootegem, Luc [HIVA — University of Louvain (Belgium); SHERPPA — Ghent University (Belgium); Verhofstadt, Elsy [SHERPPA — Ghent University (Belgium); Van Herck, Kristine; Creten, Tom [HIVA — University of Louvain (Belgium)

    2015-09-15

    Depth–damage-functions, relating the monetary flood damage to the depth of the inundation, are commonly used in the case of fluvial floods (floods caused by a river overflowing). We construct four multivariate damage models for pluvial floods (caused by extreme rainfall) by differentiating on the one hand between ground floor floods and basement floods and on the other hand between damage to residential buildings and damage to housing contents. We do not only take into account the effect of flood-depth on damage, but also incorporate the effects of non-hazard indicators (building characteristics, behavioural indicators and socio-economic variables). By using a Tobit-estimation technique on identified victims of pluvial floods in Flanders (Belgium), we take into account the effect of cases of reported zero damage. Our results show that the flood depth is an important predictor of damage, but with a diverging impact between ground floor floods and basement floods. Also non-hazard indicators are important. For example being aware of the risk just before the water enters the building reduces content damage considerably, underlining the importance of warning systems and policy in this case of pluvial floods. - Highlights: • Prediction of damage of pluvial floods using also non-hazard information • We include ‘no damage cases’ using a Tobit model. • The damage of flood depth is stronger for ground floor than for basement floods. • Non-hazard indicators are especially important for content damage. • Potential gain of policies that increase awareness of flood risks.

  18. On the Security of Multivariate Hash Functions

    Institute of Scientific and Technical Information of China (English)

    LUO Yi-yuan; LAI Xue-jia

    2009-01-01

    Multivariate hash functions are a type of hash functions whose compression function is explicitly defined as a sequence of multivariate equations. Billet et al designed the hash function MQ-HASH and Ding et al proposed a similar construction. In this paper, we analyze the security of multivariate hash functions and conclude that low degree multivariate functions such as MQ-HASH are neither pseudo-random nor unpredictable. There may be trivial collisions and fixed point attacks if the parameters of the compression ftmction have been chosen. And they are also not computation-resistance, which makes MAC forgery easily.

  19. Detrended fluctuation analysis of multivariate time series

    Science.gov (United States)

    Xiong, Hui; Shang, P.

    2017-01-01

    In this work, we generalize the detrended fluctuation analysis (DFA) to the multivariate case, named multivariate DFA (MVDFA). The validity of the proposed MVDFA is illustrated by numerical simulations on synthetic multivariate processes, where the cases that initial data are generated independently from the same system and from different systems as well as the correlated variate from one system are considered. Moreover, the proposed MVDFA works well when applied to the multi-scale analysis of the returns of stock indices in Chinese and US stock markets. Generally, connections between the multivariate system and the individual variate are uncovered, showing the solid performances of MVDFA and the multi-scale MVDFA.

  20. Multivariate meta-analysis: potential and promise.

    Science.gov (United States)

    Jackson, Dan; Riley, Richard; White, Ian R

    2011-09-10

    The multivariate random effects model is a generalization of the standard univariate model. Multivariate meta-analysis is becoming more commonly used and the techniques and related computer software, although continually under development, are now in place. In order to raise awareness of the multivariate methods, and discuss their advantages and disadvantages, we organized a one day 'Multivariate meta-analysis' event at the Royal Statistical Society. In addition to disseminating the most recent developments, we also received an abundance of comments, concerns, insights, critiques and encouragement. This article provides a balanced account of the day's discourse. By giving others the opportunity to respond to our assessment, we hope to ensure that the various view points and opinions are aired before multivariate meta-analysis simply becomes another widely used de facto method without any proper consideration of it by the medical statistics community. We describe the areas of application that multivariate meta-analysis has found, the methods available, the difficulties typically encountered and the arguments for and against the multivariate methods, using four representative but contrasting examples. We conclude that the multivariate methods can be useful, and in particular can provide estimates with better statistical properties, but also that these benefits come at the price of making more assumptions which do not result in better inference in every case. Although there is evidence that multivariate meta-analysis has considerable potential, it must be even more carefully applied than its univariate counterpart in practice. Copyright © 2011 John Wiley & Sons, Ltd.

  1. Automatic Titling of Electronic Documents with Noun Phrase Extraction

    OpenAIRE

    LOPEZ, Cédric; Prince, Violaine; Roche, Mathieu

    2011-01-01

    International audience; Automatic titling (i.e. providing titles) is one of key domains of Web site accessibility. This paper provides an approach allowing the automatic titling of texts (e.g. emails, fora, etc.) relying on the morphosyntactic study of human written titles in a corpus of various texts. The method is developed in four stages: Corpus acquisition, candidate sentences determination for titling, noun phrase extraction in the candidate sentences, and finally, selecting a particular...

  2. Title I: Time to Get It Right

    Science.gov (United States)

    Roza, Marguerite; Lake, Robin

    2015-01-01

    Congress enacted the Elementary and Secondary Education Act (ESEA) 50 years ago as part of President Lyndon B. Johnson's "War on Poverty." The most expansive federal education bill ever passed, it was developed as redress, establishing that poor children needed more educational services than wealthier children. Title I of the ESEA…

  3. Fast title extraction method for business documents

    Science.gov (United States)

    Katsuyama, Yutaka; Naoi, Satoshi

    1997-04-01

    Conventional electronic document filing systems are inconvenient because the user must specify the keywords in each document for later searches. To solve this problem, automatic keyword extraction methods using natural language processing and character recognition have been developed. However, these methods are slow, especially for japanese documents. To develop a practical electronic document filing system, we focused on the extraction of keyword areas from a document by image processing. Our fast title extraction method can automatically extract titles as keywords from business documents. All character strings are evaluated for similarity by rating points associated with title similarity. We classified these points as four items: character sitting size, position of character strings, relative position among character strings, and string attribution. Finally, the character string that has the highest rating is selected as the title area. The character recognition process is carried out on the selected area. It is fast because this process must recognize a small number of patterns in the restricted area only, and not throughout the entire document. The mean performance of this method is an accuracy of about 91 percent and a 1.8 sec. processing time for an examination of 100 Japanese business documents.

  4. Multicultural Titles for Holidays and Celebrations.

    Science.gov (United States)

    Mitchell-Powell, Brenda

    1993-01-01

    This bibliography (14 sources) of holiday-oriented titles provides resources for school, library, and home use that present engaging perspectives on cultural celebrations, informative content, and potential for interactive use. All incorporate diversity as an everyday way of life rather than a special occasion posture. (SLD)

  5. 24 CFR 3500.16 - Title companies.

    Science.gov (United States)

    2010-04-01

    ... 24 Housing and Urban Development 5 2010-04-01 2010-04-01 false Title companies. 3500.16 Section 3500.16 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued) OFFICE OF ASSISTANT SECRETARY FOR HOUSING-FEDERAL HOUSING COMMISSIONER, DEPARTMENT OF HOUSING AND...

  6. Names, Nicknames, and Titles in Translation.

    Science.gov (United States)

    Bantas, Andrei

    1994-01-01

    Considers the problems related to the translation of names, nicknames, and titles. Discusses the general challenges requiring extensive cultural background, along with special challenges revealing an author's subjective intentions in the form of humor, invention, allusion, or distortion. Provides a method for dealing with such translational…

  7. Title I in Georgia: Annual Evaluation Report, FY 1972/73.

    Science.gov (United States)

    Moore, Sarah H.; Weiss, Mark H.

    Title I programming emphasis in Georgia is increasingly oriented toward basic skills. Fifty-eight percent of the total "participation units" were engaged in English reading and mathematics activities. No other activity or service received as much as 8 percent of the participation total. English reading activities accounted for 56.5…

  8. 7 CFR 1901.203 - Title VIII of the Civil Rights Act of 1968.

    Science.gov (United States)

    2010-01-01

    ..., rental, or financing of housing contained in title VIII apply to: (1) All dwellings financed by loans... equal housing opportunity throughout the nation. We encourage and support an affirmative advertising and... Public Law 103-354 programs and referral to the Department of Justice for suit by the United States...

  9. Current Subcounty Allocation Practices: Volume I of the Title I, ESEA, Subcounty Allocation Study.

    Science.gov (United States)

    Paller, Alan T.; Gutmann, Babette

    In this report, subcounty allocation of Title I of the Elementary and Secondary Education Act (ESEA) funds is described in terms of direct allocation, use of the statutory formula emphasizing census data, United States Office of Education (USOE) regulations, participating states, geographic and administrative overlaps, hold harmless adjustments…

  10. An Implementation Technique for Multivariate Robust Design

    Institute of Scientific and Technical Information of China (English)

    MA Yi-zhong; ZHAO Feng-yu

    2005-01-01

    This paper investigates systematically the problem of multivariate robust parameter design. First, a measurement criterion for the total variation of multivariate quality characteristics is introduced by the result of information theory. Then the implementation procedure in the robust design is presented. After that, a simulation example from a practical industrial process is provided. Finally, some comments and further work are discussed.

  11. Multivariate interval-censored survival data

    DEFF Research Database (Denmark)

    Hougaard, Philip

    2014-01-01

    , derived from the L and R points. Asymptotic results are simple for the former and complicated for the latter. This paper is a review describing the extension to multivariate data, like eruption times for teeth examined at visits to the dentist. Parametric models extend easily to multivariate data. However...

  12. Measuring equilibrium models: a multivariate approach

    Directory of Open Access Journals (Sweden)

    Nadji RAHMANIA

    2011-04-01

    Full Text Available This paper presents a multivariate methodology for obtaining measures of unobserved macroeconomic variables. The used procedure is the multivariate Hodrick-Prescot which depends on smoothing param eters. The choice of these parameters is crucial. Our approach is based on consistent estimators of these parameters, depending only on the observed data.

  13. Book Trade Research and Statistics. Prices of U.S. and Foreign Published Materials; Book Title Output and Average Prices: 2001 Final and 2002 Preliminary Figures; Book Sales Statistics, 2002: AAP Preliminary Estimates; U.S. Book Exports and Imports:2002; Number of Book Outlets in the United States and Canada; Review Media Statistics.

    Science.gov (United States)

    Sullivan, Sharon G.; Grabois, Andrew; Greco, Albert N.

    2003-01-01

    Includes six reports related to book trade statistics, including prices of U.S. and foreign materials; book title output and average prices; book sales statistics; book exports and imports; book outlets in the U.S. and Canada; and numbers of books and other media reviewed by major reviewing publications. (LRW)

  14. Generating monthly rainfall amount using multivariate skew-t copula

    Science.gov (United States)

    Radi, Noor Fadhilah Ahmad; Zakaria, Roslinazairimah; Zanariah Satari, Siti

    2017-09-01

    This study aims to generate rainfall data in cases where the data is not available or not enough for a certain area of study. In general, the rainfall data is rightly skewed, so the multivariate skew-t copula is used as it able to model rainfall amount and capture the spatial dependence in the data. To illustrate the methodology, three rainfall stations in Kelantan are used. Firstly, the observed data is transformed to uniform unit. The Spearman’s correlation coefficient is calculated between the three stations. It is found that the correlations between the stations are significance at α = 0.05. The next step involved generating the synthetic rainfall data using the multivariate skew-t copula. The data is then transformed to uniform unit and the correlation coefficient is calculated for the generated data. Finally, the correlation coefficient of the observed and the generated data are compared. The Kolmogorov-Smirnov goodness of fit test is used to assess the fit between theoretical and empirical copula and supported by graphical representation. The results show that there is no significant difference between empirical and theoretical copula at 5% significance level. Thus, the multivariate skew-t copula is suitable to generate synthetic rainfall data that can mimic the observed rainfall data. It can also be used to present different rainfall scenarios by changing the value of the parameters in the model.

  15. Basics of Multivariate Analysis in Neuroimaging Data

    Science.gov (United States)

    Habeck, Christian Georg

    2010-01-01

    Multivariate analysis techniques for neuroimaging data have recently received increasing attention as they have many attractive features that cannot be easily realized by the more commonly used univariate, voxel-wise, techniques1,5,6,7,8,9. Multivariate approaches evaluate correlation/covariance of activation across brain regions, rather than proceeding on a voxel-by-voxel basis. Thus, their results can be more easily interpreted as a signature of neural networks. Univariate approaches, on the other hand, cannot directly address interregional correlation in the brain. Multivariate approaches can also result in greater statistical power when compared with univariate techniques, which are forced to employ very stringent corrections for voxel-wise multiple comparisons. Further, multivariate techniques also lend themselves much better to prospective application of results from the analysis of one dataset to entirely new datasets. Multivariate techniques are thus well placed to provide information about mean differences and correlations with behavior, similarly to univariate approaches, with potentially greater statistical power and better reproducibility checks. In contrast to these advantages is the high barrier of entry to the use of multivariate approaches, preventing more widespread application in the community. To the neuroscientist becoming familiar with multivariate analysis techniques, an initial survey of the field might present a bewildering variety of approaches that, although algorithmically similar, are presented with different emphases, typically by people with mathematics backgrounds. We believe that multivariate analysis techniques have sufficient potential to warrant better dissemination. Researchers should be able to employ them in an informed and accessible manner. The current article is an attempt at a didactic introduction of multivariate techniques for the novice. A conceptual introduction is followed with a very simple application to a diagnostic

  16. Measures of dependence for multivariate Lévy distributions

    Science.gov (United States)

    Boland, J.; Hurd, T. R.; Pivato, M.; Seco, L.

    2001-02-01

    Recent statistical analysis of a number of financial databases is summarized. Increasing agreement is found that logarithmic equity returns show a certain type of asymptotic behavior of the largest events, namely that the probability density functions have power law tails with an exponent α≈3.0. This behavior does not vary much over different stock exchanges or over time, despite large variations in trading environments. The present paper proposes a class of multivariate distributions which generalizes the observed qualities of univariate time series. A new consequence of the proposed class is the "spectral measure" which completely characterizes the multivariate dependences of the extreme tails of the distribution. This measure on the unit sphere in M-dimensions, in principle completely general, can be determined empirically by looking at extreme events. If it can be observed and determined, it will prove to be of importance for scenario generation in portfolio risk management.

  17. Influences of Cultural Differences on Translation of Titles of Laws

    Institute of Scientific and Technical Information of China (English)

    顾秀梅

    2014-01-01

    For whatever kind of literary forms, the first thing that we come into contact with is the title. The title functions as not only the eye catcher but also the summary of the context. Any legal document starts with its title and a good translation of the ti-tle lays the foundation for the interpretation of follow-up terms and conditions. However, translating titles of laws is affected by different factors, especially cultural differences, such as history, diction and conventions. Anyway, cultural impact on translation of law titles can be handled tactfully.

  18. Influences of Cultural Differences on Translation of Titles of Songs

    Institute of Scientific and Technical Information of China (English)

    陈彩珍

    2014-01-01

    A title is like an eye that reveals its character. A good title of great originality can concentrate on the main points and arouse readers’interests. The title plays a significant part especially in the times of eyeball economy. However, though short as titles are, they always contain a lot of connotations which are quite difficult to translate. Translation is substantially kind of cross-cultural information communication, and translation of song titles is no exception. Due to different origins, Chinese and Western cultures possess their own characteristics in cultural images, ways of thinking, and historical allusions, which should be considered when translating song titles.

  19. Multivariate normative comparisons using an aggregated database

    Science.gov (United States)

    Murre, Jaap M. J.; Huizenga, Hilde M.

    2017-01-01

    In multivariate normative comparisons, a patient’s profile of test scores is compared to those in a normative sample. Recently, it has been shown that these multivariate normative comparisons enhance the sensitivity of neuropsychological assessment. However, multivariate normative comparisons require multivariate normative data, which are often unavailable. In this paper, we show how a multivariate normative database can be constructed by combining healthy control group data from published neuropsychological studies. We show that three issues should be addressed to construct a multivariate normative database. First, the database may have a multilevel structure, with participants nested within studies. Second, not all tests are administered in every study, so many data may be missing. Third, a patient should be compared to controls of similar age, gender and educational background rather than to the entire normative sample. To address these issues, we propose a multilevel approach for multivariate normative comparisons that accounts for missing data and includes covariates for age, gender and educational background. Simulations show that this approach controls the number of false positives and has high sensitivity to detect genuine deviations from the norm. An empirical example is provided. Implications for other domains than neuropsychology are also discussed. To facilitate broader adoption of these methods, we provide code implementing the entire analysis in the open source software package R. PMID:28267796

  20. United in change

    NARCIS (Netherlands)

    Hanneke Posthumus; Josje den Ridder; Joep de Hart

    2014-01-01

    Original title: Verenigd in verandering The importance of citizens who unite in civil society organisations is broadly recognised. Organisations bind people to each other, to the community and to the political system. How are civil-society organisations in the Netherlands faring? Is there

  1. Multivariate statistical methods a first course

    CERN Document Server

    Marcoulides, George A

    2014-01-01

    Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is poin

  2. Exploratory multivariate analysis by example using R

    CERN Document Server

    Husson, Francois; Pages, Jerome

    2010-01-01

    Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis.The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the prin

  3. 75 FR 25925 - United States Mint

    Science.gov (United States)

    2010-05-10

    ... United States Mint ACTION: Notification of Citizens Coinage Advisory Committee May 25, 2010 Public Meeting. SUMMARY: Pursuant to United States Code, Title 31, section 5135(b)(8)(C), the United States Mint...: May 25, 2010. Time: 9 a.m. to 12 p.m. Location: 8th Floor Board Room, United States Mint, 801...

  4. 78 FR 64385 - United Nations Day, 2013

    Science.gov (United States)

    2013-10-28

    ... October 28, 2013 Part V The President Proclamation 9045--United Nations Day, 2013 #0; #0; #0; Presidential... Documents#0;#0; #0; #0;Title 3-- #0;The President ] Proclamation 9045 of October 23, 2013 United Nations Day..., 68 years after the adoption of the United Nations Charter, we mark United Nations Day by...

  5. An Introduction to Applied Multivariate Analysis

    CERN Document Server

    Raykov, Tenko

    2008-01-01

    Focuses on the core multivariate statistics topics which are of fundamental relevance for its understanding. This book emphasis on the topics that are critical to those in the behavioral, social, and educational sciences.

  6. Multivariate Voronoi Outlier Detection for Time Series.

    Science.gov (United States)

    Zwilling, Chris E; Wang, Michelle Yongmei

    2014-10-01

    Outlier detection is a primary step in many data mining and analysis applications, including healthcare and medical research. This paper presents a general method to identify outliers in multivariate time series based on a Voronoi diagram, which we call Multivariate Voronoi Outlier Detection (MVOD). The approach copes with outliers in a multivariate framework, via designing and extracting effective attributes or features from the data that can take parametric or nonparametric forms. Voronoi diagrams allow for automatic configuration of the neighborhood relationship of the data points, which facilitates the differentiation of outliers and non-outliers. Experimental evaluation demonstrates that our MVOD is an accurate, sensitive, and robust method for detecting outliers in multivariate time series data.

  7. Multivariate analysis of industrial scale fermentation data

    DEFF Research Database (Denmark)

    Mears, Lisa; Nørregård, Rasmus; Stocks, Stuart;

    , and thereforeareas offocus for optimising the processoperation.This requires multivariate methods which canutilise the complexdatasetswhich areroutinely collected, containing online measured variables and offline sample data.Fermentation processes are highly sensitive to operational changes, as well as between...

  8. Application of Domestication Theory in Translation of Movie Titles

    Institute of Scientific and Technical Information of China (English)

    王明亮; 刘智慧

    2011-01-01

    This thesis attempts to discuss Chinese and English movie titles translation from the perspective of domestication theory and concludes domestication translation can break through restricts at the linguistic level to convey the meaning and spirit of movie titles efficiently.

  9. Parameter Estimation in Multivariate Gamma Distribution

    OpenAIRE

    V S Vaidyanathan; R Vani Lakshmi

    2015-01-01

    Multivariate gamma distribution finds abundant applications in stochastic modelling, hydrology and reliability. Parameter estimation in this distribution is a challenging one as it involves many parameters to be estimated simultaneously. In this paper, the form of multivariate gamma distribution proposed by Mathai and Moschopoulos [10] is considered. This form has nice properties in terms of marginal and conditional densities. A new method of estimation based on optimal search is proposed for...

  10. Multivariable Feedback Control of Nuclear Reactors

    Directory of Open Access Journals (Sweden)

    Rune Moen

    1982-07-01

    Full Text Available Multivariable feedback control has been adapted for optimal control of the spatial power distribution in nuclear reactor cores. Two design techniques, based on the theory of automatic control, were developed: the State Variable Feedback (SVF is an application of the linear optimal control theory, and the Multivariable Frequency Response (MFR is based on a generalization of the traditional frequency response approach to control system design.

  11. Influences of Cultural Differences on Translation of Titles of Films

    Institute of Scientific and Technical Information of China (English)

    陈彩珍

    2014-01-01

    When translating the titles of films, translators are faced with not only different meanings of Chinese and English lan-guage, but also various cultural connotations behind the titles. Therefore, translators should take cultural differences into account in order to make the translated titles close to the connotations of the source culture. Such cultural differences as religious dissimi-larities, historical allusions and idiomatic expressions (or idioms) are major concerns when translating film titles.

  12. 29 CFR 452.7 - Bill of Rights, title I.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 2 2010-07-01 2010-07-01 false Bill of Rights, title I. 452.7 Section 452.7 Labor... DISCLOSURE ACT OF 1959 Other Provisions of the Act Affecting Title IV § 452.7 Bill of Rights, title I. The provisions of title I, “Bill of Rights of Members of Labor Organizations” 7 (particularly section 101(a)(1...

  13. Multivariate Longitudinal Analysis with Bivariate Correlation Test

    Science.gov (United States)

    Adjakossa, Eric Houngla; Sadissou, Ibrahim; Hounkonnou, Mahouton Norbert; Nuel, Gregory

    2016-01-01

    In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using the EM algorithm, we suggest more general expressions of the model’s parameters estimators. These estimators can be used in the framework of the multivariate longitudinal data analysis as well as in the more general context of the analysis of multivariate multilevel data. By using a likelihood ratio test, we test the significance of the correlations between the random effects of two dependent variables of the model, in order to investigate whether or not it is useful to model these dependent variables jointly. Simulation studies are done to assess both the parameter recovery performance of the EM estimators and the power of the test. Using two empirical data sets which are of longitudinal multivariate type and multivariate multilevel type, respectively, the usefulness of the test is illustrated. PMID:27537692

  14. 29 CFR 4022.63 - Estimated title IV benefit.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 9 2010-07-01 2010-07-01 false Estimated title IV benefit. 4022.63 Section 4022.63 Labor... PAYABLE IN TERMINATED SINGLE-EMPLOYER PLANS Benefit Reductions in Terminating Plans § 4022.63 Estimated... administrator shall determine each participant's estimated title IV benefit. The estimated title IV...

  15. 14 CFR 1245.109 - Assignment of title to NASA.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false Assignment of title to NASA. 1245.109... INTELLECTUAL PROPERTY RIGHTS Patent Waiver Regulations § 1245.109 Assignment of title to NASA. (a) The instrument of waiver set forth in § 1245.115(c) shall be voided by NASA with respect to the domestic title...

  16. 44 CFR 208.27 - Title to equipment.

    Science.gov (United States)

    2010-10-01

    ... Cooperative Agreements § 208.27 Title to equipment. Title to equipment purchased by a Sponsoring Agency with funds provided under a DHS Preparedness Cooperative Agreement vests in the Sponsoring Agency, provided that DHS reserves the right to transfer title to the Federal Government or a third party that DHS...

  17. Academic Achievement Differences between Title I Students Enrolled in Music Classes and Title I Students Who Are Not

    Science.gov (United States)

    McDaniel, Brian

    2011-01-01

    Purpose. The purpose of the study was to determine academic achievement differences between those Title I students enrolled in music classes and Title I students who are not enrolled in music classes. A second purpose was to determine educators' perceptions regarding the educational justice implications of excluding nonproficient Title I students…

  18. Academic Achievement Differences between Title I Students Enrolled in Music Classes and Title I Students Who Are Not

    Science.gov (United States)

    McDaniel, Brian

    2011-01-01

    Purpose. The purpose of the study was to determine academic achievement differences between those Title I students enrolled in music classes and Title I students who are not enrolled in music classes. A second purpose was to determine educators' perceptions regarding the educational justice implications of excluding nonproficient Title I students…

  19. Futurist Art: Motion and Aesthetics As a Function of Title

    Science.gov (United States)

    Mastandrea, Stefano; Umiltà, Maria A.

    2016-01-01

    Very often the titles of Futurist paintings contain words denoting movement in order to satisfy their artistic poetic focused on motion and velocity. The aim of the present study is to investigate the reported dynamism and aesthetic quality of several Futurist artworks as a function of their title. Ten Futurist artworks with a movement-related word in the title were selected for this study. The titles were manipulated, resulting in four conditions for each painting: the “original title” with the movement word; an “increased” title in which an adjective was added in order to intensify the sense of dynamism; a “decreased” title, in which the movement word was eliminated; no title. Participants evaluated the movement suggested by each painting in the four different title conditions, rated their beauty and reported how much they liked the work. Results showed that the manipulation of the title had an effect on the reported movement: compared to the others, paintings presented with the “original” and with the “increased” title received significant higher movement scores. Of interest, beauty did not differ across conditions, but liking was higher for the conditions with more movement. Lastly, positive correlations between the quantity of perceived movement and aesthetic evaluation were found. From the present results it can be concluded that Futurists attributed much relevance to the titles of their artworks in order to effectively increase the expression of the movement represented. PMID:27242471

  20. Multivariate Max-Stable Spatial Processes

    KAUST Repository

    Genton, Marc G.

    2014-01-06

    Analysis of spatial extremes is currently based on univariate processes. Max-stable processes allow the spatial dependence of extremes to be modelled and explicitly quantified, they are therefore widely adopted in applications. For a better understanding of extreme events of real processes, such as environmental phenomena, it may be useful to study several spatial variables simultaneously. To this end, we extend some theoretical results and applications of max-stable processes to the multivariate setting to analyze extreme events of several variables observed across space. In particular, we study the maxima of independent replicates of multivariate processes, both in the Gaussian and Student-t cases. Then, we define a Poisson process construction in the multivariate setting and introduce multivariate versions of the Smith Gaussian extremevalue, the Schlather extremal-Gaussian and extremal-t, and the BrownResnick models. Inferential aspects of those models based on composite likelihoods are developed. We present results of various Monte Carlo simulations and of an application to a dataset of summer daily temperature maxima and minima in Oklahoma, U.S.A., highlighting the utility of working with multivariate models in contrast to the univariate case. Based on joint work with Simone Padoan and Huiyan Sang.

  1. A Public Key Block Cipher Based on Multivariate Quadratic Quasigroups

    CERN Document Server

    Gligoroski, Danilo; Knapskog, Svein Johan

    2008-01-01

    We have designed a new class of public key algorithms based on quasigroup string transformations using a specific class of quasigroups called multivariate quadratic quasigroups (MQQ). Our public key algorithm is a bijective mapping, it does not perform message expansions and can be used both for encryption and signatures. The public key consist of n quadratic polynomials with n variables where n=140, 160, ... . A particular characteristic of our public key algorithm is that it is very fast and highly parallelizable. More concretely, it has the speed of a typical modern symmetric block cipher - the reason for the phrase "A Public Key Block Cipher" in the title of this paper. Namely the reference C code for the 160-bit variant of the algorithm performs decryption in less than 11,000 cycles (on Intel Core 2 Duo -- using only one processor core), and around 6,000 cycles using two CPU cores and OpenMP 2.0 library. However, implemented in Xilinx Virtex-5 FPGA that is running on 249.4 MHz it achieves decryption thro...

  2. Multivariate generalized linear mixed models using R

    CERN Document Server

    Berridge, Damon Mark

    2011-01-01

    Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R. A Unified Framework for a Broad Class of Models The authors first discuss members of the family of generalized linear models, gradually adding complexity to the modeling framework by incorporating random effects. After reviewing the generalized linear model notation, they illustrate a range of random effects models, including three-level, multivariate, endpoint, event history, and state dependence models. They estimate the multivariate generalized linear mixed models (MGLMMs) using either standard or adaptive Gaussian quadrature. The authors also compare two-level fixed and random effects linear models. The appendices contain additional information on quadrature, model...

  3. Multivariate analysis: A statistical approach for computations

    Science.gov (United States)

    Michu, Sachin; Kaushik, Vandana

    2014-10-01

    Multivariate analysis is a type of multivariate statistical approach commonly used in, automotive diagnosis, education evaluating clusters in finance etc and more recently in the health-related professions. The objective of the paper is to provide a detailed exploratory discussion about factor analysis (FA) in image retrieval method and correlation analysis (CA) of network traffic. Image retrieval methods aim to retrieve relevant images from a collected database, based on their content. The problem is made more difficult due to the high dimension of the variable space in which the images are represented. Multivariate correlation analysis proposes an anomaly detection and analysis method based on the correlation coefficient matrix. Anomaly behaviors in the network include the various attacks on the network like DDOs attacks and network scanning.

  4. A MATLAB companion for multivariable calculus

    CERN Document Server

    Cooper, Jeffery

    2001-01-01

    Offering a concise collection of MatLab programs and exercises to accompany a third semester course in multivariable calculus, A MatLab Companion for Multivariable Calculus introduces simple numerical procedures such as numerical differentiation, numerical integration and Newton''s method in several variables, thereby allowing students to tackle realistic problems. The many examples show students how to use MatLab effectively and easily in many contexts. Numerous exercises in mathematics and applications areas are presented, graded from routine to more demanding projects requiring some programming. Matlab M-files are provided on the Harcourt/Academic Press web site at http://www.harcourt-ap.com/matlab.html.* Computer-oriented material that complements the essential topics in multivariable calculus* Main ideas presented with examples of computations and graphics displays using MATLAB * Numerous examples of short code in the text, which can be modified for use with the exercises* MATLAB files are used to implem...

  5. Schmidt decomposition and multivariate statistical analysis

    Science.gov (United States)

    Bogdanov, Yu. I.; Bogdanova, N. A.; Fastovets, D. V.; Luckichev, V. F.

    2016-12-01

    The new method of multivariate data analysis based on the complements of classical probability distribution to quantum state and Schmidt decomposition is presented. We considered Schmidt formalism application to problems of statistical correlation analysis. Correlation of photons in the beam splitter output channels, when input photons statistics is given by compound Poisson distribution is examined. The developed formalism allows us to analyze multidimensional systems and we have obtained analytical formulas for Schmidt decomposition of multivariate Gaussian states. It is shown that mathematical tools of quantum mechanics can significantly improve the classical statistical analysis. The presented formalism is the natural approach for the analysis of both classical and quantum multivariate systems and can be applied in various tasks associated with research of dependences.

  6. A MULTIVARIATE ANALYSIS OF CROATIAN COUNTIES ENTREPRENEURSHIP

    Directory of Open Access Journals (Sweden)

    Elza Jurun

    2012-12-01

    Full Text Available In the focus of this paper is a multivariate analysis of Croatian Counties entrepreneurship. Complete data base available by official statistic institutions at national and regional level is used. Modern econometric methodology starting from a comparative analysis via multiple regression to multivariate cluster analysis is carried out as well as the analysis of successful or inefficacious entrepreneurship measured by indicators of efficiency, profitability and productivity. Time horizons of the comparative analysis are in 2004 and 2010. Accelerators of socio-economic development - number of entrepreneur investors, investment in fixed assets and current assets ratio in multiple regression model are analytically filtered between twenty-six independent variables as variables of the dominant influence on GDP per capita in 2010 as dependent variable. Results of multivariate cluster analysis of twentyone Croatian Counties are interpreted also in the sense of three Croatian NUTS 2 regions according to European nomenclature of regional territorial division of Croatia.

  7. Simplicial band depth for multivariate functional data

    KAUST Repository

    López-Pintado, Sara

    2014-03-05

    We propose notions of simplicial band depth for multivariate functional data that extend the univariate functional band depth. The proposed simplicial band depths provide simple and natural criteria to measure the centrality of a trajectory within a sample of curves. Based on these depths, a sample of multivariate curves can be ordered from the center outward and order statistics can be defined. Properties of the proposed depths, such as invariance and consistency, can be established. A simulation study shows the robustness of this new definition of depth and the advantages of using a multivariate depth versus the marginal depths for detecting outliers. Real data examples from growth curves and signature data are used to illustrate the performance and usefulness of the proposed depths. © 2014 Springer-Verlag Berlin Heidelberg.

  8. The value of multivariate model sophistication

    DEFF Research Database (Denmark)

    Rombouts, Jeroen; Stentoft, Lars; Violante, Francesco

    2014-01-01

    We assess the predictive accuracies of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set of 444 multivariate models that differ in their spec....... In addition to investigating the value of model sophistication in terms of dollar losses directly, we also use the model confidence set approach to statistically infer the set of models that delivers the best pricing performances....

  9. Analysis of multivariate social science data

    CERN Document Server

    Bartholomew, David J; Galbraith, Jane; Moustaki, Irini

    2008-01-01

    Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signal

  10. Starting up unstable multivariable controllers safety

    DEFF Research Database (Denmark)

    Stoustrup, J.; Niemann, Hans Henrik

    The problem of superimposing a multivariable controller on a running plant is considered. A simple but effective controller architecture is suggested which allows the transition from a conventional controller to a full multivariable controller to take place in a continuous way. This architecture...... allows for unstable controllers to be handled in a reliable way. Moreover, bandwidth properties can be tuned separately. It is shown how this architecture can be extended to provide a useful tool to implement gain scheduled controllers in the same fashion....

  11. Editorial: The HTML Title Tag and Its Importance

    Directory of Open Access Journals (Sweden)

    Alireza Noruzi

    2005-12-01

    Full Text Available The Title Tag is an HTML code. The text embedded in the title tag of a web page appears as the title of the web page in search engine results. Moreover, the information contained in a title tag appears as a header or label at the top of the screen in the reverse bar of a web browser window (such as Internet Explorer to present obviously the title of the web page that is being viewed. It should be pointed out that checking the web pages presented as "Untitled Document", indicated that some of them have their unique titles and are not untitled. In other words, search engines present many web pages as untitled documents, while they have their unique titles. The question is why such pages are retrieved in response to the title command (i.e. allintitle:Untitled or intitle:Untitled? This is also true for other search engines, like Yahoo, as we tested the title command on Yahoo (title:Untitled.

  12. What Difference Does a Title Make

    DEFF Research Database (Denmark)

    Balle, Søren Hattesen

    2006-01-01

    out by Gerard Genette, by naming and “designat[ing] it as precisely as possible and without too much risk of confusion” (Genette, 1997). In accordance with its title the poem thus represents the discourse of a newsreader neutrally reporting the events of war scenario. However, each section of the poem....... On such a reading, the poem is often given further significance through a contextual interpretation, taking into consideration that its time of writing coincided with the Vietnam War. In this light, the poem is interpreted as a critical comment on how through its ostensibly objective and neutral tone news reporting...... as a news report, its subtitles section and transform it into a list of aesthetically pleasing emblems, whose literal reference to so many scenes of war is really the figurative expression of a gooseneck lamp, a typewriter, a pile of mss., typed sheet, etc. The main claim of this paper is that Bishop’s poem...

  13. Multiscale and Multivariate Visualizations of Software Evolution

    NARCIS (Netherlands)

    Voinea, Lucian; Telea, Alexandru

    2006-01-01

    Software evolution visualization is a promising technique for assessing the software development process. We study how complex correlations of software evolution attributes can be made using multivariate visualization techniques. We use a combination of color and textures to depict up to four artifa

  14. Multivariate data analysis of 2 DE data

    DEFF Research Database (Denmark)

    Wulff, Tune; Jokumsen, Alfred; Jessen, Flemming

    achieved by 2-DE. Protein spots, which individually or in combination with other spots varied according to hypoxia were found by multivariate data analysis (partial least squares regression) on group scaled data (normalised spot volumes) followed by selection of significant spots by jack-knifing. Tandem...

  15. Multivariate Time Series Decomposition into Oscillation Components.

    Science.gov (United States)

    Matsuda, Takeru; Komaki, Fumiyasu

    2017-08-01

    Many time series are considered to be a superposition of several oscillation components. We have proposed a method for decomposing univariate time series into oscillation components and estimating their phases (Matsuda & Komaki, 2017 ). In this study, we extend that method to multivariate time series. We assume that several oscillators underlie the given multivariate time series and that each variable corresponds to a superposition of the projections of the oscillators. Thus, the oscillators superpose on each variable with amplitude and phase modulation. Based on this idea, we develop gaussian linear state-space models and use them to decompose the given multivariate time series. The model parameters are estimated from data using the empirical Bayes method, and the number of oscillators is determined using the Akaike information criterion. Therefore, the proposed method extracts underlying oscillators in a data-driven manner and enables investigation of phase dynamics in a given multivariate time series. Numerical results show the effectiveness of the proposed method. From monthly mean north-south sunspot number data, the proposed method reveals an interesting phase relationship.

  16. Multivariate Analysis of Industrial Scale Fermentation Data

    DEFF Research Database (Denmark)

    Mears, Lisa; Nørregård, Rasmus; Stocks, Stuart M.

    2015-01-01

    Multivariate analysis allows process understanding to be gained from the vast and complex datasets recorded from fermentation processes, however the application of such techniques to this field can be limited by the data pre-processing requirements and data handling. In this work many iterations...

  17. Net analyte signal calculation for multivariate calibration

    NARCIS (Netherlands)

    Ferre, J.; Faber, N.M.

    2003-01-01

    A unifying framework for calibration and prediction in multivariate calibration is shown based on the concept of the net analyte signal (NAS). From this perspective, the calibration step can be regarded as the calculation of a net sensitivity vector, whose length is the amount of net signal when the

  18. Visualization of Multivariate Athlete Performance Data

    NARCIS (Netherlands)

    Telea, A.; Hillerin, P. de; Valeanu, V.

    2007-01-01

    We present a set of visualization methods for the analysis of multivariate data recorded from the measurement of the performance of athletes during training. We use a modified training device to measure the force, acceleration, displacement, and speed of the athlete’s feet and arms while performing

  19. A KIND OF MULTIVARIATE NURBS SURFACES

    Institute of Scientific and Technical Information of China (English)

    Ren-HongWang; Chong-JunLi

    2004-01-01

    The purpose of this paper is to construct a kind of multivariate NURBS surfaces by using the bivariate B-splines in the space S1/2(Δmn(2) and discuss some properties of this kind of NURBS surfaces with multiple knots on the type-2 triangulation.

  20. Orthogonality Relations for Multivariate Krawtchouk Polynomials

    Directory of Open Access Journals (Sweden)

    Hiroshi Mizukawa

    2011-02-01

    Full Text Available The orthogonality relations of multivariate Krawtchouk polynomials are discussed. In case of two variables, the necessary and sufficient conditions of orthogonality is given by Grünbaum and Rahman in [SIGMA 6 (2010, 090, 12 pages]. In this study, a simple proof of the necessary and sufficient condition of orthogonality is given for a general case.

  1. Multivariate Model for Test Response Analysis

    NARCIS (Netherlands)

    Krishnan, Shaji; Krishnan, Shaji; Kerkhoff, Hans G.

    2010-01-01

    A systematic approach to construct an effective multivariate test response model for capturing manufacturing defects in electronic products is described. The effectiveness of the model is demonstrated by its capability in reducing the number of test-points, while achieving the maximal coverage

  2. Multivariate data analysis of 2 DE data

    DEFF Research Database (Denmark)

    Wulff, Tune; Jokumsen, Alfred; Jessen, Flemming

    achieved by 2-DE. Protein spots, which individually or in combination with other spots varied according to hypoxia were found by multivariate data analysis (partial least squares regression) on group scaled data (normalised spot volumes) followed by selection of significant spots by jack-knifing. Tandem...

  3. Multivariate model for test response analysis

    NARCIS (Netherlands)

    Krishnan, S.; Kerkhoff, H.G.

    2010-01-01

    A systematic approach to construct an effective multivariate test response model for capturing manufacturing defects in electronic products is described. The effectiveness of the model is demonstrated by its capability in reducing the number of test-points, while achieving the maximal coverage attai

  4. Using Matlab in a Multivariable Calculus Course.

    Science.gov (United States)

    Schlatter, Mark D.

    The benefits of high-level mathematics packages such as Matlab include both a computer algebra system and the ability to provide students with concrete visual examples. This paper discusses how both capabilities of Matlab were used in a multivariate calculus class. Graphical user interfaces which display three-dimensional surfaces, contour plots,…

  5. Multivariate analysis: greater insights into complex systems

    Science.gov (United States)

    Many agronomic researchers measure and collect multiple response variables in an effort to understand the more complex nature of the system being studied. Multivariate (MV) statistical methods encompass the simultaneous analysis of all random variables (RV) measured on each experimental or sampling ...

  6. Multivariate analysis of longitudinal rates of change.

    Science.gov (United States)

    Bryan, Matthew; Heagerty, Patrick J

    2016-12-10

    Longitudinal data allow direct comparison of the change in patient outcomes associated with treatment or exposure. Frequently, several longitudinal measures are collected that either reflect a common underlying health status, or characterize processes that are influenced in a similar way by covariates such as exposure or demographic characteristics. Statistical methods that can combine multivariate response variables into common measures of covariate effects have been proposed in the literature. Current methods for characterizing the relationship between covariates and the rate of change in multivariate outcomes are limited to select models. For example, 'accelerated time' methods have been developed which assume that covariates rescale time in longitudinal models for disease progression. In this manuscript, we detail an alternative multivariate model formulation that directly structures longitudinal rates of change and that permits a common covariate effect across multiple outcomes. We detail maximum likelihood estimation for a multivariate longitudinal mixed model. We show via asymptotic calculations the potential gain in power that may be achieved with a common analysis of multiple outcomes. We apply the proposed methods to the analysis of a trivariate outcome for infant growth and compare rates of change for HIV infected and uninfected infants. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  7. Ranking multivariate GARCH models by problem dimension

    NARCIS (Netherlands)

    M. Caporin (Massimiliano); M.J. McAleer (Michael)

    2010-01-01

    textabstractIn the last 15 years, several Multivariate GARCH (MGARCH) models have appeared in the literature. The two most widely known and used are the Scalar BEKK model of Engle and Kroner (1995) and Ding and Engle (2001), and the DCC model of Engle (2002). Some recent research has begun to examin

  8. Multivariate linear models and repeated measurements revisited

    DEFF Research Database (Denmark)

    Dalgaard, Peter

    2009-01-01

    Methods for generalized analysis of variance based on multivariate normal theory have been known for many years. In a repeated measurements context, it is most often of interest to consider transformed responses, typically within-subject contrasts or averages. Efficiency considerations leads...

  9. Approaches to Assessment in Multivariate Analysis.

    Science.gov (United States)

    O'Connell, Ann A.

    This paper reviews trends in assessment in quantitative courses and illustrates several options and approaches to assessment for advanced courses at the graduate level, especially in multivariate analysis. The paper provides a summary of how a researcher has used alternatives to traditional methods of assessment in a course on multivariate…

  10. Multivariate model for test response analysis

    NARCIS (Netherlands)

    Krishnan, S.; Kerkhoff, H.G.

    2010-01-01

    A systematic approach to construct an effective multivariate test response model for capturing manufacturing defects in electronic products is described. The effectiveness of the model is demonstrated by its capability in reducing the number of test-points, while achieving the maximal coverage attai

  11. 75 FR 65561 - United Nations Day, 2010

    Science.gov (United States)

    2010-10-26

    ... Documents#0;#0; #0; #0;Title 3-- #0;The President ] Proclamation 8589 of October 22, 2010 United Nations Day, 2010 By the President of the United States of America A Proclamation Sixty-five years ago, 51 nations... peace, justice, and progress. The founders of the United Nations vowed to work together to ensure...

  12. Evaluation of Mining Titles Based on Option-Pricing Model

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Limitations exist in applying discounted cash flow and analogy sales methods to evaluate mining titles. In order to find a more appropriate way of evaluating mining titles, the Black-Scholes model is discussed in this paper. The authors pay particular attention to the determination of the time to maturity of the option on the basis of characteristics of the mining industry, pointing out that a reasonable time to maturity of the option should be the remaining time after deducting the essential time, needed by exploitation of the mineral resources within the mining property, from the life of the mining title. Several conclusions, related to the exercise of mineral resource management, are drawn from a case study analysis; extending the life of a mining title within a certain range could increase the revenue to the seller of the mining title. Application of the Black-Scholes model to evaluate mining titles would encourage an expansion of the scale of production.

  13. 20 CFR 411.552 - What effect will the subsequent entitlement to title II benefits have on EN payments for title...

    Science.gov (United States)

    2010-04-01

    ... to title II benefits have on EN payments for title XVI beneficiaries after they assign their ticket... to title II benefits have on EN payments for title XVI beneficiaries after they assign their ticket... outcome for which an EN can be paid, but the beneficiary later becomes entitled to title II benefits,...

  14. The formalization fix? Land titling and land concessions in Cambodia

    OpenAIRE

    Dwyer, Michael B.

    2015-01-01

    Issuing land titles to smallholder farmers has long been embraced as a way to promote lending and land markets, but is increasingly being reframed as a way to protect smallholders from irresponsible agricultural investment. This brief examines the case of Cambodia, where over the last decade extensive land titling efforts have occurred alongside a wave of large-scale land concessions. The problem, however, is that titling has failed to live up to the rhetoric of systematic coverage, and has o...

  15. Influences of Cultural Differences on Translation of Titles of Novels

    Institute of Scientific and Technical Information of China (English)

    顾秀梅

    2014-01-01

    With the fast-pacing of globalization, cross-cultural communications are becoming increasingly frequent. Translation of the literary works, or novels is one of the most popular models of cultural exchange. While the translation of novel titles comes with first importance as successful translation of the titles facilitates a bird’s eye view of the whole context. However, the transla-tion of novel titles is no easy without consideration of cultural differences which directly influence people’s thoughts and under-standing. Therefore, translating novel titles requires an overall analysis of such cultural elements as religion, cultural images, way of thinking, and historical allusions.

  16. On Translating English Movie Titles into Chinese Introduction

    Institute of Scientific and Technical Information of China (English)

    王奥南

    2013-01-01

    Movie is an art and a commodity as well. With the opening of the Chinese market, we have more English movies. The translation of movie titles must be accurate and embody the commercial values. As the huge differences between two kinds of culture, language in the film titles translation, how to do to“faithfulness, expressiveness, elegance?”For various types of Eng⁃lish movie titles translation, several principles should be obeyed. After the analysis of the current problems and principles of transla⁃tion of English movie titles, the translation skills are summarized.

  17. Video Game Title Translation Functional Translation Theory Perspective

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xiao-rong

    2016-01-01

    The video game plays an important role in inter-cultural communication studies. However, few have ventured the field of E-C translation of video game titles. Within the frame of Skopostheorie, this paper focuses on the three translation strategies brought up by the functions and features of video game titles. When preserving the structure and meaning of the original title is possible, literal translation should be used. However, the fact that some translators ignore the context of the title causes rigid translation. Transliteration is recommended when the title is the name of a person or place because the meaning of the title is hard to be preserved by the other two strategies. Since there are cultural differences between China and western world, when lit-eral translation and transliteration cannot present the meaning of the title, free translation should be used. Translators should bear the content and game play of the game in mind in order to free themselves from the formal equivalence for a properly translated title. Free translation does not mean translators can do the translation as whatever they want in the name of Skopos, they should avoid arbitrary translation. The aim of this paper is to help people to understand more about the E-C translation of video game ti-tle as well as the practical translation strategies and Sino-western inter-cultural communication.

  18. Getting to One from Title 10 + Title 32: Unity of Effort in the Homeland

    Science.gov (United States)

    2011-09-01

    Program,” with the purpose of “collecting operational and reconnaissance data, conducting research, and analyzing data on tropical cyclones to assist...natural disasters under Title 14 of U.S. Code. This authority was utilized following the January 12, 2010 earthquake disaster in Haiti when Secretary...Secretary Napolitano stated, “activating our reserve Coast Guard forces will expand our capacity to assist in aid efforts in Haiti ” (Department of

  19. Quadrotor system identification using the multivariate multiplex b-spline

    NARCIS (Netherlands)

    Visser, T.; De Visser, C.C.; Van Kampen, E.J.

    2015-01-01

    A novel method for aircraft system identification is presented that is based on a new multivariate spline type; the multivariate multiplex B-spline. The multivariate multiplex B-spline is a generalization of the recently introduced tensor-simplex B-spline. Multivariate multiplex splines obtain simil

  20. 77 FR 62247 - Dynamic Positioning Operations Guidance for Vessels Other Than Mobile Offshore Drilling Units...

    Science.gov (United States)

    2012-10-12

    ...] Dynamic Positioning Operations Guidance for Vessels Other Than Mobile Offshore Drilling Units Operating on... voluntary guidance titled ``Mobile Offshore Drilling Unit Dynamic Positioning Guidance''. The notice recommended owners and operators of Mobile Offshore Drilling Units (MODUs) follow Marine Technology...

  1. Multivariate Approaches to Classification in Extragalactic Astronomy

    Science.gov (United States)

    Fraix-Burnet, Didier; Thuillard, Marc; Chattopadhyay, Asis Kumar

    2015-08-01

    Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in use, together with numerous mono- or bivariate classifications most often made by eye. However, a classification must be driven by the data, and sophisticated multivariate statistical tools are used more and more often. In this paper we review these different approaches in order to situate them in the general context of unsupervised and supervised learning. We insist on the astrophysical outcomes of these studies to show that multivariate analyses provide an obvious path toward a renewal of our classification of galaxies and are invaluable tools to investigate the physics and evolution of galaxies.

  2. Multivariate analysis of endometrial tissue fluorescence spectra

    Science.gov (United States)

    Vaitkuviene, Aurelija; Auksorius, E.; Fuchs, D.; Gavriushin, V.

    2002-10-01

    Background and Objective: The detailed multivariate analysis of endometrial tissue fluorescence spectra was done. Spectra underlying features and classification algorithm were analyzed. An effort has been made to determine the importance of neopterin component in endometrial premalignization. Study Design/Materials and Methods: Biomedical tissue fluorescence was measured by excitation with the Nd YAG laser third harmonic. Multivariate analysis techniques were used to analyze fluorescence spectra. Biomedical optics group at Vilnius University analyzed the neopterin substance supplied by the Institute of Medical Chemistry and Biochemistry of Innsbruck University. Results: Seven statistically significant spectral compounds were found. The classification algorithm classifying samples to histopathological categories was developed and resulted in sensitivity of 80% and specificity 93% for malignant vs. hyperplastic and normal. Conclusions: Fluorescence spectra could be classified with high accuracy. Spectral variation underlying features can be extracted. Neopterin component might play an important role in endometrial hyperplasia development.

  3. Multivariate Approaches to Classification in Extragalactic Astronomy

    Directory of Open Access Journals (Sweden)

    Didier eFraix-Burnet

    2015-08-01

    Full Text Available Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in use, together with numerous mono- or bivariate classifications most often made by eye. However, a classification must be driven by the data, and sophisticated multivariate statistical tools are used more and more often. In this paper we review these different approaches in order to situate them in the general context of unsupervised and supervised learning. We insist on the astrophysical outcomes of these studies to show that multivariate analyses provide an obvious path toward a renewal of our classification of galaxies and are invaluable tools to investigate the physics and evolution of galaxies.

  4. Parameter Estimation in Multivariate Gamma Distribution

    Directory of Open Access Journals (Sweden)

    V S Vaidyanathan

    2015-05-01

    Full Text Available Multivariate gamma distribution finds abundant applications in stochastic modelling, hydrology and reliability. Parameter estimation in this distribution is a challenging one as it involves many parameters to be estimated simultaneously. In this paper, the form of multivariate gamma distribution proposed by Mathai and Moschopoulos [10] is considered. This form has nice properties in terms of marginal and conditional densities. A new method of estimation based on optimal search is proposed for estimating the parameters using the marginal distributions and the concepts of maximum likelihood, spacings and least squares. The proposed methodology is easy to implement and is free from calculus. It optimizes the objective function by searching over a wide range of values and determines the estimate of the parameters. The consistency of the estimates is demonstrated in terms of mean, standard deviation and mean square error through simulation studies for different choices of parameters. 

  5. Multivariate max-stable spatial processes

    KAUST Repository

    Genton, Marc G.

    2015-02-11

    Max-stable processes allow the spatial dependence of extremes to be modelled and quantified, so they are widely adopted in applications. For a better understanding of extremes, it may be useful to study several variables simultaneously. To this end, we study the maxima of independent replicates of multivariate processes, both in the Gaussian and Student-t cases. We define a Poisson process construction and introduce multivariate versions of the Smith Gaussian extreme-value, the Schlather extremal-Gaussian and extremal-t, and the Brown–Resnick models. We develop inference for the models based on composite likelihoods. We present results of Monte Carlo simulations and an application to daily maximum wind speed and wind gust.

  6. Power Estimation in Multivariate Analysis of Variance

    Directory of Open Access Journals (Sweden)

    Jean François Allaire

    2007-09-01

    Full Text Available Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA can be approximated using a F distribution for the three popular statistics (Hotelling-Lawley trace, Pillai-Bartlett trace, Wilk`s likelihood ratio. Consequently, the same procedure, as in any statistical test, can be used: computation of the critical F value, computation of the noncentral parameter (as a function of the effect size and finally estimation of power using a noncentral F distribution. Various numerical examples are provided which help to understand and to apply the method. Problems related to post hoc power estimation are discussed.

  7. Sensitivity Limitations for Multivariable Linear Filtering

    Directory of Open Access Journals (Sweden)

    Steven R. Weller

    2007-01-01

    Full Text Available This paper examines fundamental limitations in performance which apply to linear filtering problems associated with multivariable systems having as many inputs as outputs. The results of this paper quantify unavoidable limitations in the sensitivity of state estimates to process and measurement disturbances, as represented by the maximum singular values of the relevant transfer matrices. These limitations result from interpolation constraints imposed by open right half-plane poles and zeros in the transfer matrices linking process noise and output noise with state estimates. Using the Poisson integral inequality, this paper shows how sensitivity limitations and tradeoffs in multivariable filtering problems are intimately related to the directionality properties of the open right half-plane poles and zeros in these transfer matrices.

  8. A Multivariate Approach to Functional Neuro Modeling

    DEFF Research Database (Denmark)

    Mørch, Niels J.S.

    1998-01-01

    This Ph.D. thesis, A Multivariate Approach to Functional Neuro Modeling, deals with the analysis and modeling of data from functional neuro imaging experiments. A multivariate dataset description is provided which facilitates efficient representation of typical datasets and, more importantly...... and overall conditions governing the functional experiment, via associated micro- and macroscopic variables. The description facilitates an efficient microscopic re-representation, as well as a handle on the link between brain and behavior; the latter is achieved by hypothesizing variations in the micro...... a generalization theoretical framework centered around measures of model generalization error. - Only few, if any, examples of the application of generalization theory to functional neuro modeling currently exist in the literature. - Exemplification of the proposed generalization theoretical framework...

  9. Multivariate Approaches to Classification in Extragalactic Astronomy

    CERN Document Server

    Fraix-Burnet, Didier; Chattopadhyay, Asis Kumar

    2015-01-01

    Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in use, together with numerous mono-or bivariate classifications most often made by eye. However, a classification must be driven by the data, and sophisticated multivariate statistical tools are used more and more often. In this paper we review these different approaches in order to situate them in the general context of unsupervised and supervised learning. We insist on the astrophysical outcomes of these studies to show that multivariate analyses provide an obvious path toward a renewal of our classification of galaxies and are invaluable tools to investigate the physics and evolution of galaxies.

  10. Transfer entropy between multivariate time series

    Science.gov (United States)

    Mao, Xuegeng; Shang, Pengjian

    2017-06-01

    It is a crucial topic to identify the direction and strength of the interdependence between time series in multivariate systems. In this paper, we propose the method of transfer entropy based on the theory of time-delay reconstruction of a phase space, which is a model-free approach to detect causalities in multivariate time series. This method overcomes the limitation that original transfer entropy only can capture which system drives the transition probabilities of another in scalar time series. Using artificial time series, we show that the driving character is obviously reflected with the increase of the coupling strength between two signals and confirm the effectiveness of the method with noise added. Furthermore, we utilize it to real-world data, namely financial time series, in order to characterize the information flow among different stocks.

  11. Tau identification using multivariate techniques in ATLAS

    CERN Document Server

    O'Neil, D; The ATLAS collaboration

    2011-01-01

    Tau leptons will play an important role in the physics program at the LHC. They will be used in electroweak measurements and in detector related studies like the determination of the missing transverse energy scale, but also in searches for new phenomena like the Higgs boson or Supersymmetry. Due to the huge background from QCD processes, efficient tau identification techniques with large fake rejection are essential. Tau object appear as collimated jets with low track multiplicity and single variable criteria are not enough to efficiently separate them from jets and electrons. This can be achieved using modern multivariate techniques which make optimal use of all the information available. They are particularly useful when the discriminating variables are not independent and no single variable provides good signal and background separation. In ATLAS several advanced algorithms are applied to identify taus, in particular a projective likelihood estimator and boosted decision trees. All multivariate methods ap...

  12. Tau identification using multivariate techniques in ATLAS

    CERN Document Server

    "O'Neil, D C; The ATLAS collaboration

    2011-01-01

    Tau leptons play an important role in the physics program of the LHC. They are being used in electroweak measurements, in detector related studies and in searches for new phenomena like the Higgs boson or Supersymmetry. Tau objects appear as collimated jets with low track multiplicity. Due to the background from QCD multijet processes, efficient tau identification techniques with large fake rejection are essential. Since single variable criteria are not enough to efficiently separate them from jets and electrons, modern multivariate techniques are used. In ATLAS, several advanced algorithms are applied to identify taus, including a projective likelihood estimator and boosted decision trees. All multivariate methods applied to the ATLAS simulated data perform better than the baseline cut analysis. Their performance is shown using high energy data collected at the ATLAS experiment. The strengths and weaknesses of each technique are also discussed.

  13. Modeling Multivariate Volatility Processes: Theory and Evidence

    Directory of Open Access Journals (Sweden)

    Jelena Z. Minovic

    2009-05-01

    Full Text Available This article presents theoretical and empirical methodology for estimation and modeling of multivariate volatility processes. It surveys the model specifications and the estimation methods. Multivariate GARCH models covered are VEC (initially due to Bollerslev, Engle and Wooldridge, 1988, diagonal VEC (DVEC, BEKK (named after Baba, Engle, Kraft and Kroner, 1995, Constant Conditional Correlation Model (CCC, Bollerslev, 1990, Dynamic Conditional Correlation Model (DCC models of Tse and Tsui, 2002, and Engle, 2002. I illustrate approach by applying it to daily data from the Belgrade stock exchange, I examine two pairs of daily log returns for stocks and index, report the results obtained, and compare them with the restricted version of BEKK, DVEC and CCC representations. The methods for estimation parameters used are maximum log-likehood (in BEKK and DVEC models and twostep approach (in CCC model.

  14. Multivariate temporal dictionary learning for EEG.

    Science.gov (United States)

    Barthélemy, Q; Gouy-Pailler, C; Isaac, Y; Souloumiac, A; Larue, A; Mars, J I

    2013-04-30

    This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article proposes a data-driven method to obtain an adapted dictionary. To reach an efficient dictionary learning, appropriate spatial and temporal modeling is required. Inter-channels links are taken into account in the spatial multivariate model, and shift-invariance is used for the temporal model. Multivariate learned kernels are informative (a few atoms code plentiful energy) and interpretable (the atoms can have a physiological meaning). Using real EEG data, the proposed method is shown to outperform the classical multichannel matching pursuit used with a Gabor dictionary, as measured by the representative power of the learned dictionary and its spatial flexibility. Moreover, dictionary learning can capture interpretable patterns: this ability is illustrated on real data, learning a P300 evoked potential.

  15. Usual Dietary Intakes: SAS Macros for Fitting Multivariate Measurement Error Models & Estimating Multivariate Usual Intake Distributions

    Science.gov (United States)

    The following SAS macros can be used to create a multivariate usual intake distribution for multiple dietary components that are consumed nearly every day or episodically. A SAS macro for performing balanced repeated replication (BRR) variance estimation is also included.

  16. Multivariate Process Control with Autocorrelated Data

    DEFF Research Database (Denmark)

    Kulahci, Murat

    2011-01-01

    . For high dimensional data with excessive amount of cross correlation, practitioners are often recommended to use latent structures methods such as Principal Component Analysis to summarize the data in only a few linear combinations of the original variables that capture most of the variation in the data....... In this paper, we discuss the effect of autocorrelation (when it is ignored) on multivariate control charts based on these methods and provide some practical suggestions and remedies to overcome this problem....

  17. Random matrix theory and multivariate statistics

    OpenAIRE

    Diaz-Garcia, Jose A.; Jáimez, Ramon Gutiérrez

    2009-01-01

    Some tools and ideas are interchanged between random matrix theory and multivariate statistics. In the context of the random matrix theory, classes of spherical and generalised Wishart random matrix ensemble, containing as particular cases the classical random matrix ensembles, are proposed. Some properties of these classes of ensemble are analysed. In addition, the random matrix ensemble approach is extended and a unified theory proposed for the study of distributions for real normed divisio...

  18. Preliminary Multivariable Cost Model for Space Telescopes

    Science.gov (United States)

    Stahl, H. Philip

    2010-01-01

    Parametric cost models are routinely used to plan missions, compare concepts and justify technology investments. Previously, the authors published two single variable cost models based on 19 flight missions. The current paper presents the development of a multi-variable space telescopes cost model. The validity of previously published models are tested. Cost estimating relationships which are and are not significant cost drivers are identified. And, interrelationships between variables are explored

  19. Robust Evaluation of Multivariate Density Forecasts

    OpenAIRE

    Dovern, Jonas; Manner, Hans

    2016-01-01

    We derive new tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms. These tests have the advantage that they i) do not depend on the ordering of variables in the forecasting model, ii) are applicable to densities of arbitrary dimensions, and iii) have superior power relative to existing approaches. We furthermore develop adjusted tests that allow for estimated parameters and, consequently, can be used as in-sample specification tes...

  20. The evolution of multivariate maternal effects.

    Science.gov (United States)

    Kuijper, Bram; Johnstone, Rufus A; Townley, Stuart

    2014-04-01

    There is a growing interest in predicting the social and ecological contexts that favor the evolution of maternal effects. Most predictions focus, however, on maternal effects that affect only a single character, whereas the evolution of maternal effects is poorly understood in the presence of suites of interacting traits. To overcome this, we simulate the evolution of multivariate maternal effects (captured by the matrix M) in a fluctuating environment. We find that the rate of environmental fluctuations has a substantial effect on the properties of M: in slowly changing environments, offspring are selected to have a multivariate phenotype roughly similar to the maternal phenotype, so that M is characterized by positive dominant eigenvalues; by contrast, rapidly changing environments favor Ms with dominant eigenvalues that are negative, as offspring favor a phenotype which substantially differs from the maternal phenotype. Moreover, when fluctuating selection on one maternal character is temporally delayed relative to selection on other traits, we find a striking pattern of cross-trait maternal effects in which maternal characters influence not only the same character in offspring, but also other offspring characters. Additionally, when selection on one character contains more stochastic noise relative to selection on other traits, large cross-trait maternal effects evolve from those maternal traits that experience the smallest amounts of noise. The presence of these cross-trait maternal effects shows that individual maternal effects cannot be studied in isolation, and that their study in a multivariate context may provide important insights about the nature of past selection. Our results call for more studies that measure multivariate maternal effects in wild populations.

  1. The evolution of multivariate maternal effects.

    Directory of Open Access Journals (Sweden)

    Bram Kuijper

    2014-04-01

    Full Text Available There is a growing interest in predicting the social and ecological contexts that favor the evolution of maternal effects. Most predictions focus, however, on maternal effects that affect only a single character, whereas the evolution of maternal effects is poorly understood in the presence of suites of interacting traits. To overcome this, we simulate the evolution of multivariate maternal effects (captured by the matrix M in a fluctuating environment. We find that the rate of environmental fluctuations has a substantial effect on the properties of M: in slowly changing environments, offspring are selected to have a multivariate phenotype roughly similar to the maternal phenotype, so that M is characterized by positive dominant eigenvalues; by contrast, rapidly changing environments favor Ms with dominant eigenvalues that are negative, as offspring favor a phenotype which substantially differs from the maternal phenotype. Moreover, when fluctuating selection on one maternal character is temporally delayed relative to selection on other traits, we find a striking pattern of cross-trait maternal effects in which maternal characters influence not only the same character in offspring, but also other offspring characters. Additionally, when selection on one character contains more stochastic noise relative to selection on other traits, large cross-trait maternal effects evolve from those maternal traits that experience the smallest amounts of noise. The presence of these cross-trait maternal effects shows that individual maternal effects cannot be studied in isolation, and that their study in a multivariate context may provide important insights about the nature of past selection. Our results call for more studies that measure multivariate maternal effects in wild populations.

  2. Bayesian Inference of a Multivariate Regression Model

    Directory of Open Access Journals (Sweden)

    Marick S. Sinay

    2014-01-01

    Full Text Available We explore Bayesian inference of a multivariate linear regression model with use of a flexible prior for the covariance structure. The commonly adopted Bayesian setup involves the conjugate prior, multivariate normal distribution for the regression coefficients and inverse Wishart specification for the covariance matrix. Here we depart from this approach and propose a novel Bayesian estimator for the covariance. A multivariate normal prior for the unique elements of the matrix logarithm of the covariance matrix is considered. Such structure allows for a richer class of prior distributions for the covariance, with respect to strength of beliefs in prior location hyperparameters, as well as the added ability, to model potential correlation amongst the covariance structure. The posterior moments of all relevant parameters of interest are calculated based upon numerical results via a Markov chain Monte Carlo procedure. The Metropolis-Hastings-within-Gibbs algorithm is invoked to account for the construction of a proposal density that closely matches the shape of the target posterior distribution. As an application of the proposed technique, we investigate a multiple regression based upon the 1980 High School and Beyond Survey.

  3. Compressive tracking with incremental multivariate Gaussian distribution

    Science.gov (United States)

    Li, Dongdong; Wen, Gongjian; Zhu, Gao; Zeng, Qiaoling

    2016-09-01

    Various approaches have been proposed for robust visual tracking, among which compressive tracking (CT) yields promising performance. In CT, Haar-like features are efficiently extracted with a very sparse measurement matrix and modeled as an online updated naïve Bayes classifier to account for target appearance change. The naïve Bayes classifier ignores overlap between Haar-like features and assumes that Haar-like features are independently distributed, which leads to drift in complex scenario. To address this problem, we present an extended CT algorithm, which assumes that all Haar-like features are correlated with each other and have multivariate Gaussian distribution. The mean vector and covariance matrix of multivariate normal distribution are incrementally updated with constant computational complexity to adapt to target appearance change. Each frame is associated with a temporal weight to expend less modeling power on old observation. Based on temporal weight, an update scheme with changing but convergent learning rate is derived with strict mathematic proof. Compared with CT, our extended algorithm achieves a richer representation of target appearance. The incremental multivariate Gaussian distribution is integrated into the particle filter framework to achieve better tracking performance. Extensive experiments on the CVPR2013 tracking benchmark demonstrate that our proposed tracker achieves superior performance both qualitatively and quantitatively over several state-of-the-art trackers.

  4. Control of wastewater using multivariate control chart

    Science.gov (United States)

    Nugraha, Jaka; Fatimah, Is; Prabowo, Rino Galang

    2017-03-01

    Wastewater treatment is a crucial process in industry cause untreated or improper treatment of wastewater may leads some problems affecting to the other parts of environmental aspects. For many kinds of wastewater treatments, the parameters of Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), and the Total Suspend Solid (TSS) are usual parameters to be controlled as a standard. In this paper, the application of multivariate Hotteling T2 Individual was reported to control wastewater treatment. By using wastewater treatment data from PT. ICBP, east Java branch, while the fulfillment of quality standards are based on East Java Governor Regulation No. 72 Year 2013 on Standards of Quality of Waste Water Industry and / or Other Business Activities. The obtained results are COD and TSS has a correlation with BOD values with the correlation coefficient higher than 50%, and it is is also found that influence of the COD and TSS to BOD values are 82% and 1.9% respectively. Based on Multivariate control chart Individual T2 Hotteling, it is found that BOD-COD and BOD-TSS are each one subgroup that are outside the control limits. Thus, it can be said there is a process that is not multivariate controlled, but univariately the variables of BOD, COD and TSS are within specification (standard quality) that has been determined.

  5. TRACTABILITY OF MULTIVARIATE INTEGRATION PROBLEM FOR PERIODIC CONTINUOUS FUNCTIONS

    Institute of Scientific and Technical Information of China (English)

    Fang Gensun; Long Jingfan

    2007-01-01

    The authors study the tractability and strong tractability of a multivariate integration problem in the worst case setting for weighted 1-periodic continuous functions spaces of d coordinates with absolutely convergent Fourier series. The authors reduce the initial error by a factor ε for functions from the unit ball of the weighted periodic continuous functions spaces. Tractability is the minimal number of function samples required to solve the problem in polynomial in ε-1 and d, and the strong tractability is the presence of only a polynomial dependence in ε-1. This problem has been recently studied for quasi-Monte Carlo quadrature rules, quadrature rules with non-negative coefficients,and rules for which all quadrature weights are arbitrary for weighted Korobov spaces of smooth periodic functions of d variables. The authors show that the tractability and strong tractability of a multivariate integration problem in worst case setting hold for the weighted periodic continuous functions spaces with absolutely convergent Fourier series under the same assumptions as in Ref. [14] on the weights of the Korobov space for quasi-Monte Carlo rules and rules for which all quadrature weights are non-negative. The arguments are not constructive.

  6. 20 CFR 408.931 - How much will we withhold from your title II and title XVI benefits to recover a title VIII...

    Science.gov (United States)

    2010-04-01

    ... willfully misrepresented or concealed material information in connection with the overpayment. (c) In... withholding from title VIII benefits. (d) If you or your spouse willfully misrepresented or concealed material...

  7. 24 CFR 203.37 - Nature of title to realty.

    Science.gov (United States)

    2010-04-01

    ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Nature of title to realty. 203.37 Section 203.37 Housing and Urban Development Regulations Relating to Housing and Urban Development... § 203.37 Nature of title to realty. A mortgage, to be eligible for insurance, must be on real...

  8. Book Title Output and Average Prices: 2008-2011

    Science.gov (United States)

    Barr, Catherine; Harbison, Constance

    2012-01-01

    The print publishing industry is showing signs of recovering from the worst of the economic downturn even as the surge in popularity of ebooks raises questions about the future of printed materials. From a high of 190,502 titles in 2007, overall American book title output fell to 178,841 in 2009 but climbed back to 186,344 in 2010; preliminary…

  9. 28 CFR 33.22 - Title to personal property.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Title to personal property. 33.22 Section 33.22 Judicial Administration DEPARTMENT OF JUSTICE BUREAU OF JUSTICE ASSISTANCE GRANT PROGRAMS Criminal Justice Block Grants Allocation of Funds § 33.22 Title to personal property. Section 808 of...

  10. The Translation of Films: Sub-Titling versus Dubbing

    Science.gov (United States)

    Voge, Hans

    1977-01-01

    A study of film translation. Well-documented opinions are given on the advantages and disadvantages of both dubbing and sub-titling. One of the tentative conclusions is that sub-titling is to be preferred because it preserves the original dialogue and allows the audience verying degrees of comprehension. A bibliography is provided. (AMH)

  11. Targeting Schools: Study of Title I Allocations within School Districts.

    Science.gov (United States)

    Stullich, Stephanie; Donly, Brenda; Stolzberg, Simeon

    Title I of the Elementary and Secondary Education Act (ESEA) is intended to support state and local efforts to ensure that all children reach challenging standards by providing additional resources for schools and students that have the farthest to go. The 1994 reauthorization of the ESEA included a number of changes to Title I allocation…

  12. Titling indigenous communities protects forests in the Peruvian Amazon.

    Science.gov (United States)

    Blackman, Allen; Corral, Leonardo; Lima, Eirivelthon Santos; Asner, Gregory P

    2017-04-18

    Developing countries are increasingly decentralizing forest governance by granting indigenous groups and other local communities formal legal title to land. However, the effects of titling on forest cover are unclear. Rigorous analyses of titling campaigns are rare, and related theoretical and empirical research suggests that they could either stem or spur forest damage. We analyze such a campaign in the Peruvian Amazon, where more than 1,200 indigenous communities comprising some 11 million ha have been titled since the mid-1970s. We use community-level longitudinal data derived from high-resolution satellite images to estimate the effect of titling between 2002 and 2005 on contemporaneous forest clearing and disturbance. Our results indicate that titling reduces clearing by more than three-quarters and forest disturbance by roughly two-thirds in a 2-y window spanning the year title is awarded and the year afterward. These results suggest that awarding formal land titles to local communities can advance forest conservation.

  13. Evaluation Report, Brookville EEE Program, ESEA Title I, Summer, 1970.

    Science.gov (United States)

    Morgan, Don L.

    Contained in this report is an evaluation of the ESEA Title I Environmental-Ecological Education Program for educationally disadvantaged students operated by the Brookville Area School District, Pennsylvania. The program is a modification of a previously operated ESEA Title III Rural Youth Enrichment Program. Conducted during the summer of 1970,…

  14. Foreignizing Translation and Domesticating Translation of Hong Kong Movie Titles

    Institute of Scientific and Technical Information of China (English)

    林慧韵

    2014-01-01

    Generally,the movie title translation strategy would be divided into two:domesticating translation strategy and foreignizing translation strategy.The movie title translation in Hong Kong is chosen to be the material for the analysis of the domesticating translation strategy and foreignizing translation strategy,compared with that of Mainland China.

  15. 24 CFR 203.389 - Waived title objections.

    Science.gov (United States)

    2010-04-01

    ... SINGLE FAMILY MORTGAGE INSURANCE Contract Rights and Obligations Property Title Transfers and Title..., and other customary easements for public utilities, party walls, driveways, and other purposes. (2... exercise of the rights thereunder do not interfere with any of the buildings or improvements located on the...

  16. Energy and economic growth in the USA: a multivariate approach

    Energy Technology Data Exchange (ETDEWEB)

    Stern, D.I. (Boston Univ., MA (United States). Center for Energy and Environmental Studies)

    1993-04-01

    This paper examines the casual relationship between Gross Domestic Product and energy use for the period 1947-90 in the United States of America. The relationship between energy use and economic growth has been examined by both biophysical and neoclassical economists. In particular, several studies have tested for the presence of a causal relationships (in the Granger sense) between energy use and economic growth. However, these tests do not allow a direct test of the relative explanatory powers of the neoclassical and biophysical models. A multivariate adaptation of the test-vector autoregression (VAR) does allow such a test. A VAR of GDP, energy use, capital stock and employment is estimated and Granger tests for causal relationships between the variables are carried out. Although there is no evidence that gross energy use Granger causes GDP, a measure of final energy use adjusted for changing fuel composition does Granger cause GDP. (author)

  17. Essay Titles – Getting the Best out of Students?

    Directory of Open Access Journals (Sweden)

    Cvetka Sokolov

    2005-06-01

    Full Text Available Essay titles are important (demotivating factors that have an immense influence on the quality of students’ writing. The article focuses on two questionnaires aimed at students of English, and at lecturers teaching, writing skills at the Department of English at the Faculty of Arts in Ljubljana. Both groups of respondents were asked to consider a list of essay titles taken from various authentic sources, deciding whether, to what extent, and under what circumstances they found them suitable. In addition, the respondents were asked to paraphrase each title in their own words to convey their interpretation and understanding of a particular title. The results and conclusions arrived at by means of the questionnaires are presented and compared to my prior expectations, stemming primarily from my teaching experience. The topic is also discussed in the light of what experts on essay writing say about essay titles.

  18. Multivariate Analysis of Genotype-Phenotype Association.

    Science.gov (United States)

    Mitteroecker, Philipp; Cheverud, James M; Pavlicev, Mihaela

    2016-04-01

    With the advent of modern imaging and measurement technology, complex phenotypes are increasingly represented by large numbers of measurements, which may not bear biological meaning one by one. For such multivariate phenotypes, studying the pairwise associations between all measurements and all alleles is highly inefficient and prevents insight into the genetic pattern underlying the observed phenotypes. We present a new method for identifying patterns of allelic variation (genetic latent variables) that are maximally associated-in terms of effect size-with patterns of phenotypic variation (phenotypic latent variables). This multivariate genotype-phenotype mapping (MGP) separates phenotypic features under strong genetic control from less genetically determined features and thus permits an analysis of the multivariate structure of genotype-phenotype association, including its dimensionality and the clustering of genetic and phenotypic variables within this association. Different variants of MGP maximize different measures of genotype-phenotype association: genetic effect, genetic variance, or heritability. In an application to a mouse sample, scored for 353 SNPs and 11 phenotypic traits, the first dimension of genetic and phenotypic latent variables accounted for >70% of genetic variation present in all 11 measurements; 43% of variation in this phenotypic pattern was explained by the corresponding genetic latent variable. The first three dimensions together sufficed to account for almost 90% of genetic variation in the measurements and for all the interpretable genotype-phenotype association. Each dimension can be tested as a whole against the hypothesis of no association, thereby reducing the number of statistical tests from 7766 to 3-the maximal number of meaningful independent tests. Important alleles can be selected based on their effect size (additive or nonadditive effect on the phenotypic latent variable). This low dimensionality of the genotype-phenotype map

  19. Multivariate Analysis of Genotype–Phenotype Association

    Science.gov (United States)

    Mitteroecker, Philipp; Cheverud, James M.; Pavlicev, Mihaela

    2016-01-01

    With the advent of modern imaging and measurement technology, complex phenotypes are increasingly represented by large numbers of measurements, which may not bear biological meaning one by one. For such multivariate phenotypes, studying the pairwise associations between all measurements and all alleles is highly inefficient and prevents insight into the genetic pattern underlying the observed phenotypes. We present a new method for identifying patterns of allelic variation (genetic latent variables) that are maximally associated—in terms of effect size—with patterns of phenotypic variation (phenotypic latent variables). This multivariate genotype–phenotype mapping (MGP) separates phenotypic features under strong genetic control from less genetically determined features and thus permits an analysis of the multivariate structure of genotype–phenotype association, including its dimensionality and the clustering of genetic and phenotypic variables within this association. Different variants of MGP maximize different measures of genotype–phenotype association: genetic effect, genetic variance, or heritability. In an application to a mouse sample, scored for 353 SNPs and 11 phenotypic traits, the first dimension of genetic and phenotypic latent variables accounted for >70% of genetic variation present in all 11 measurements; 43% of variation in this phenotypic pattern was explained by the corresponding genetic latent variable. The first three dimensions together sufficed to account for almost 90% of genetic variation in the measurements and for all the interpretable genotype–phenotype association. Each dimension can be tested as a whole against the hypothesis of no association, thereby reducing the number of statistical tests from 7766 to 3—the maximal number of meaningful independent tests. Important alleles can be selected based on their effect size (additive or nonadditive effect on the phenotypic latent variable). This low dimensionality of the

  20. Multivariable adaptive control of bio process

    Energy Technology Data Exchange (ETDEWEB)

    Maher, M.; Bahhou, B.; Roux, G. [Centre National de la Recherche Scientifique (CNRS), 31 - Toulouse (France); Maher, M. [Faculte des Sciences, Rabat (Morocco). Lab. de Physique

    1995-12-31

    This paper presents a multivariable adaptive control of a continuous-flow fermentation process for the alcohol production. The linear quadratic control strategy is used for the regulation of substrate and ethanol concentrations in the bioreactor. The control inputs are the dilution rate and the influent substrate concentration. A robust identification algorithm is used for the on-line estimation of linear MIMO model`s parameters. Experimental results of a pilot-plant fermenter application are reported and show the control performances. (authors) 8 refs.

  1. Control Configuration Selection for Multivariable Descriptor Systems

    DEFF Research Database (Denmark)

    Shaker, Hamid Reza; Stoustrup, Jakob

    2012-01-01

    is needed to be controlled, is either in the descriptor form or can be represented in the descriptor form. Singular systems and the differential algebraic equation (DAE) systems are among these systems. Descriptor systems appear in the variety of fields to describe the practical processes ranging from power...... systems, hydraulic systems to heat transfer, and chemical processes. The focus of this paper is on the problem of control configuration selection for multivariable descriptor systems. A gramian-based interaction measure for control configuration selection of such processes is described in this paper...

  2. Detecting Positive Correlations in a Multivariate Sample

    CERN Document Server

    Castro, Ery Arias; Lugosi, Gábor

    2012-01-01

    We consider the problem of testing whether a correlation matrix of a multivariate normal population is the identity matrix. We focus on sparse classes of alternatives where only a few entries are nonzero and, in fact, positive. We derive a general lower bound applicable to various classes and study the performance of some near-optimal tests. We pay special attention to computational feasibility and construct near-optimal tests that can be computed efficiently. Finally, we apply our results to prove new lower bounds for the clique number of high-dimensional random geometric graphs.

  3. New multivariable capabilities of the INCA program

    Science.gov (United States)

    Bauer, Frank H.; Downing, John P.; Thorpe, Christopher J.

    1989-01-01

    The INteractive Controls Analysis (INCA) program was developed at NASA's Goddard Space Flight Center to provide a user friendly, efficient environment for the design and analysis of control systems, specifically spacecraft control systems. Since its inception, INCA has found extensive use in the design, development, and analysis of control systems for spacecraft, instruments, robotics, and pointing systems. The (INCA) program was initially developed as a comprehensive classical design analysis tool for small and large order control systems. The latest version of INCA, expected to be released in February of 1990, was expanded to include the capability to perform multivariable controls analysis and design.

  4. Fast Algorithm of Multivariable Generalized Predictive Control

    Institute of Scientific and Technical Information of China (English)

    Jin,Yuanyu; Pang,Zhonghua; Cui,Hong

    2005-01-01

    To avoid the shortcoming of the traditional (previous)generalized predictive control (GPC) algorithms, too large amounts of computation, a fast algorithm of multivariable generalized predictive control is presented in which only the current control actions are computed exactly on line and the rest (the future control actions) are approximately done off line. The algorithm is simple and can be used in the arbitary-dimension input arbitary-dimension output (ADIADO) linear systems. Because it dose not need solving Diophantine equation and reduces the dimension of the inverse matrix, it decreases largely the computational burden. Finally, simulation results show that the presented algorithm is effective and practicable.

  5. COSIMA data analysis using multivariate techniques

    Directory of Open Access Journals (Sweden)

    J. Silén

    2014-08-01

    Full Text Available We describe how to use multivariate analysis of complex TOF-SIMS spectra introducing the method of random projections. The technique allows us to do full clustering and classification of the measured mass spectra. In this paper we use the tool for classification purposes. The presentation describes calibration experiments of 19 minerals on Ag and Au substrates using positive mode ion spectra. The discrimination between individual minerals gives a crossvalidation Cohen κ for classification of typically about 80%. We intend to use the method as a fast tool to deduce a qualitative similarity of measurements.

  6. Multivariate postprocessing techniques for probabilistic hydrological forecasting

    Science.gov (United States)

    Hemri, Stephan; Lisniak, Dmytro; Klein, Bastian

    2016-04-01

    Hydrologic ensemble forecasts driven by atmospheric ensemble prediction systems need statistical postprocessing in order to account for systematic errors in terms of both mean and spread. Runoff is an inherently multivariate process with typical events lasting from hours in case of floods to weeks or even months in case of droughts. This calls for multivariate postprocessing techniques that yield well calibrated forecasts in univariate terms and ensure a realistic temporal dependence structure at the same time. To this end, the univariate ensemble model output statistics (EMOS; Gneiting et al., 2005) postprocessing method is combined with two different copula approaches that ensure multivariate calibration throughout the entire forecast horizon. These approaches comprise ensemble copula coupling (ECC; Schefzik et al., 2013), which preserves the dependence structure of the raw ensemble, and a Gaussian copula approach (GCA; Pinson and Girard, 2012), which estimates the temporal correlations from training observations. Both methods are tested in a case study covering three subcatchments of the river Rhine that represent different sizes and hydrological regimes: the Upper Rhine up to the gauge Maxau, the river Moselle up to the gauge Trier, and the river Lahn up to the gauge Kalkofen. The results indicate that both ECC and GCA are suitable for modelling the temporal dependences of probabilistic hydrologic forecasts (Hemri et al., 2015). References Gneiting, T., A. E. Raftery, A. H. Westveld, and T. Goldman (2005), Calibrated probabilistic forecasting using ensemble model output statistics and minimum CRPS estimation, Monthly Weather Review, 133(5), 1098-1118, DOI: 10.1175/MWR2904.1. Hemri, S., D. Lisniak, and B. Klein, Multivariate postprocessing techniques for probabilistic hydrological forecasting, Water Resources Research, 51(9), 7436-7451, DOI: 10.1002/2014WR016473. Pinson, P., and R. Girard (2012), Evaluating the quality of scenarios of short-term wind power

  7. Multivariate Generalized Linear Mixed Models Using R

    CERN Document Server

    Berridge, Damon M

    2011-01-01

    To provide researchers with the ability to analyze large and complex data sets using robust models, this book presents a unified framework for a broad class of models that can be applied using a dedicated R package (Sabre). The first five chapters cover the analysis of multilevel models using univariate generalized linear mixed models (GLMMs). The next few chapters extend to multivariate GLMMs and the last chapters address more specialized topics, such as parallel computing for large-scale analyses. Each chapter includes many real-world examples implemented using Sabre as well as exercises and

  8. Modelling and Forecasting Multivariate Realized Volatility

    DEFF Research Database (Denmark)

    Chiriac, Roxana; Voev, Valeri

    This paper proposes a methodology for modelling time series of realized covariance matrices in order to forecast multivariate risks. The approach allows for flexible dynamic dependence patterns and guarantees positive definiteness of the resulting forecasts without imposing parameter restrictions....... We provide an empirical application of the model, in which we show by means of stochastic dominance tests that the returns from an optimal portfolio based on the model's forecasts second-order dominate returns of portfolios optimized on the basis of traditional MGARCH models. This result implies...

  9. Multivariate Process Control with Autocorrelated Data

    DEFF Research Database (Denmark)

    Kulahci, Murat

    2011-01-01

    As sensor and computer technology continues to improve, it becomes a normal occurrence that we confront with high dimensional data sets. As in many areas of industrial statistics, this brings forth various challenges in statistical process control and monitoring. This new high dimensional data...... often exhibit not only cross-­‐correlation among the quality characteristics of interest but also serial dependence as a consequence of high sampling frequency and system dynamics. In practice, the most common method of monitoring multivariate data is through what is called the Hotelling’s T2 statistic...

  10. Topics in multivariate approximation and interpolation

    CERN Document Server

    Jetter, Kurt

    2005-01-01

    This book is a collection of eleven articles, written by leading experts and dealing with special topics in Multivariate Approximation and Interpolation. The material discussed here has far-reaching applications in many areas of Applied Mathematics, such as in Computer Aided Geometric Design, in Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few. The book aims at giving a comprehensive information leading the reader from the fundamental notions and results of each field to the forefront of research. It is an ideal and up-to-date introduction for gr

  11. Algorithms for computing the multivariable stability margin

    Science.gov (United States)

    Tekawy, Jonathan A.; Safonov, Michael G.; Chiang, Richard Y.

    1989-01-01

    Stability margin for multiloop flight control systems has become a critical issue, especially in highly maneuverable aircraft designs where there are inherent strong cross-couplings between the various feedback control loops. To cope with this issue, we have developed computer algorithms based on non-differentiable optimization theory. These algorithms have been developed for computing the Multivariable Stability Margin (MSM). The MSM of a dynamical system is the size of the smallest structured perturbation in component dynamics that will destabilize the system. These algorithms have been coded and appear to be reliable. As illustrated by examples, they provide the basis for evaluating the robustness and performance of flight control systems.

  12. Multivariate curve-fitting in GAUSS

    Science.gov (United States)

    Bunck, C.M.; Pendleton, G.W.

    1988-01-01

    Multivariate curve-fitting techniques for repeated measures have been developed and an interactive program has been written in GAUSS. The program implements not only the one-factor design described in Morrison (1967) but also includes pairwise comparisons of curves and rates, a two-factor design, and other options. Strategies for selecting the appropriate degree for the polynomial are provided. The methods and program are illustrated with data from studies of the effects of environmental contaminants on ducklings, nesting kestrels and quail.

  13. "Ranking Multivariate GARCH Models by Problem Dimension"

    OpenAIRE

    Caporin, Massimiliano; McAleer, Michael

    2010-01-01

    textabstractIn the last 15 years, several Multivariate GARCH (MGARCH) models have appeared in the literature. The two most widely known and used are the Scalar BEKK model of Engle and Kroner (1995) and Ding and Engle (2001), and the DCC model of Engle (2002). Some recent research has begun to examine MGARCH specifications in terms of their out-of-sample forecasting performance. In this paper, we provide an empirical comparison of a set of MGARCH models, namely BEKK, DCC, Corrected DCC (cDCC) ...

  14. Multivariate Analysis for the Processing of Signals

    Directory of Open Access Journals (Sweden)

    Beattie J.R.

    2014-01-01

    Full Text Available Real-world experiments are becoming increasingly more complex, needing techniques capable of tracking this complexity. Signal based measurements are often used to capture this complexity, where a signal is a record of a sample’s response to a parameter (e.g. time, displacement, voltage, wavelength that is varied over a range of values. In signals the responses at each value of the varied parameter are related to each other, depending on the composition or state sample being measured. Since signals contain multiple information points, they have rich information content but are generally complex to comprehend. Multivariate Analysis (MA has profoundly transformed their analysis by allowing gross simplification of the tangled web of variation. In addition MA has also provided the advantage of being much more robust to the influence of noise than univariate methods of analysis. In recent years, there has been a growing awareness that the nature of the multivariate methods allows exploitation of its benefits for purposes other than data analysis, such as pre-processing of signals with the aim of eliminating irrelevant variations prior to analysis of the signal of interest. It has been shown that exploiting multivariate data reduction in an appropriate way can allow high fidelity denoising (removal of irreproducible non-signals, consistent and reproducible noise-insensitive correction of baseline distortions (removal of reproducible non-signals, accurate elimination of interfering signals (removal of reproducible but unwanted signals and the standardisation of signal amplitude fluctuations. At present, the field is relatively small but the possibilities for much wider application are considerable. Where signal properties are suitable for MA (such as the signal being stationary along the x-axis, these signal based corrections have the potential to be highly reproducible, and highly adaptable and are applicable in situations where the data is noisy or

  15. Multivariable dynamic calculus on time scales

    CERN Document Server

    Bohner, Martin

    2016-01-01

    This book offers the reader an overview of recent developments of multivariable dynamic calculus on time scales, taking readers beyond the traditional calculus texts. Covering topics from parameter-dependent integrals to partial differentiation on time scales, the book’s nine pedagogically oriented chapters provide a pathway to this active area of research that will appeal to students and researchers in mathematics and the physical sciences. The authors present a clear and well-organized treatment of the concept behind the mathematics and solution techniques, including many practical examples and exercises.

  16. Fair Use and Unpublished Works. Joint Hearing on S. 2370 and H.R. 4263, Bills To Amend Section 107 of Title 17, United States Code...before the Subcommittee on Patents, Copyrights, and Trademarks of the Senate Committee on the Judiciary and the Subcommittee on Courts, Intellectual Property, and the Administration of Justice of the House Committee on the Judiciary.

    Science.gov (United States)

    Congress of the U.S., Washington, DC. House Committee on the Judiciary.

    This hearing was called to consider two bills that would amend the section of the United States Code relating to fair use, to clarify that such section applies to both published and unpublished copyrighted works. Recent judicial developments are reviewed which suggest that the fair use doctrine does not apply to the subsequent uses of unpublished…

  17. Inscribing Authority: Female Title Bearers in Jewish Inscriptions

    Directory of Open Access Journals (Sweden)

    Carrie Duncan

    2012-02-01

    Full Text Available This paper investigates representations of gender in the material culture of the ancient synagogue. The pertinent data are numerous dedicatory and funerary inscriptions linking individual Jews, men and women, with titles seemingly associated with leadership in Late Antique synagogues (ca. 200–600 CE. Bernadette Brooten’s influential 1982 monograph argued against the prevailing tendency to characterize these titles as indications of power, authority, and responsibility when associated with men but as meaningless flattery when applied to women. She suggests that synagogue titles denote power, authority and responsibility on all title bearers equally, both men and women. I question the continued utility of proffering female title-holders as enumerable examples of powerful women rescued from their forgotten place in history. Using theoretical insights developed by historians Elizabeth Clark and Gabrielle Spiegel, this paper will engage a comparative analysis with the work of Riet van Bremen and Saba Mahmood to develop new methods of conceptualizing women’s authority in early Jewish communities. I propose that viewing women’s synagogue titles as culturally constructed representations allows for a fruitful inquiry into how women’s titles were used by male-dominated synagogue communities in their self-articulation and public presentation of Judaism.

  18. Adaptable Multivariate Calibration Models for Spectral Applications

    Energy Technology Data Exchange (ETDEWEB)

    THOMAS,EDWARD V.

    1999-12-20

    Multivariate calibration techniques have been used in a wide variety of spectroscopic situations. In many of these situations spectral variation can be partitioned into meaningful classes. For example, suppose that multiple spectra are obtained from each of a number of different objects wherein the level of the analyte of interest varies within each object over time. In such situations the total spectral variation observed across all measurements has two distinct general sources of variation: intra-object and inter-object. One might want to develop a global multivariate calibration model that predicts the analyte of interest accurately both within and across objects, including new objects not involved in developing the calibration model. However, this goal might be hard to realize if the inter-object spectral variation is complex and difficult to model. If the intra-object spectral variation is consistent across objects, an effective alternative approach might be to develop a generic intra-object model that can be adapted to each object separately. This paper contains recommendations for experimental protocols and data analysis in such situations. The approach is illustrated with an example involving the noninvasive measurement of glucose using near-infrared reflectance spectroscopy. Extensions to calibration maintenance and calibration transfer are discussed.

  19. Nonparametric multivariate rank tests and their unbiasedness

    CERN Document Server

    Jurečková, Jana; 10.3150/10-BEJ326

    2012-01-01

    Although unbiasedness is a basic property of a good test, many tests on vector parameters or scalar parameters against two-sided alternatives are not finite-sample unbiased. This was already noticed by Sugiura [Ann. Inst. Statist. Math. 17 (1965) 261--263]; he found an alternative against which the Wilcoxon test is not unbiased. The problem is even more serious in multivariate models. When testing the hypothesis against an alternative which fits well with the experiment, it should be verified whether the power of the test under this alternative cannot be smaller than the significance level. Surprisingly, this serious problem is not frequently considered in the literature. The present paper considers the two-sample multivariate testing problem. We construct several rank tests which are finite-sample unbiased against a broad class of location/scale alternatives and are finite-sample distribution-free under the hypothesis and alternatives. Each of them is locally most powerful against a specific alternative of t...

  20. Multivariate intralocus sexual conflict in seed beetles.

    Science.gov (United States)

    Berger, David; Berg, Elena C; Widegren, William; Arnqvist, Göran; Maklakov, Alexei A

    2014-12-01

    Intralocus sexual conflict (IaSC) is pervasive because males and females experience differences in selection but share much of the same genome. Traits with integrated genetic architecture should be reservoirs of sexually antagonistic genetic variation for fitness, but explorations of multivariate IaSC are scarce. Previously, we showed that upward artificial selection on male life span decreased male fitness but increased female fitness compared with downward selection in the seed beetle Callosobruchus maculatus. Here, we use these selection lines to investigate sex-specific evolution of four functionally integrated traits (metabolic rate, locomotor activity, body mass, and life span) that collectively define a sexually dimorphic life-history syndrome in many species. Male-limited selection for short life span led to correlated evolution in females toward a more male-like multivariate phenotype. Conversely, males selected for long life span became more female-like, implying that IaSC results from genetic integration of this suite of traits. However, while life span, metabolism, and body mass showed correlated evolution in the sexes, activity did not evolve in males but, surprisingly, did so in females. This led to sexual monomorphism in locomotor activity in short-life lines associated with detrimental effects in females. Our results thus support the general tenet that widespread pleiotropy generates IaSC despite sex-specific genetic architecture.

  1. Augmented Classical Least Squares Multivariate Spectral Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Haaland, David M. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM)

    2005-01-11

    A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

  2. Augmented Classical Least Squares Multivariate Spectral Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Haaland, David M. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM)

    2005-07-26

    A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.

  3. Peramalan Multivariate untuk Menentukan Harga Emas Global

    Directory of Open Access Journals (Sweden)

    David Christian

    2016-12-01

    Full Text Available Gold is one of the most enticing commodities and a very popular way of investing. Gold’s price is allegedly influenced by another factors such as US Dollar, oil’s price, inflation rate, and stock exchange so that its model is not only affected by its value. The aim of this research is to determine the best forecasting model and influencing factors to gold’s price. This research reviews the univariate modeling as a benchmark and comparison to the multivariate one. Univariate time series is modeled using the ARIMA model which indicates that the fluctuation of the gold prices are following the white noise. Gold’s multivariate modeling is built using the Vector Error Correction Model with oil’s price, US Dollar and Dow Jones indices, and inflation rate as its predictors. Research’s result shows that the VECM model has been able to model the gold’s price well and all factors investigated are influencing gold’s price. US Dollar and oil’s price are negatively correlated with gold’s price as the inflation rate is positively correlated. Dow Jones Index is positively correlated with gold’s price only at its first two periods

  4. Tau identification using multivariate techniques in ATLAS

    Science.gov (United States)

    O'Neil, D. C.; ATLAS Collaboration

    2012-06-01

    Tau leptons play an important role in the physics program of the LHC. They are being used in electroweak measurements, in detector related studies and in searches for new phenomena like the Higgs boson or Supersymmetry. In the detector, tau leptons are reconstructed as collimated jets with low track multiplicity. Due to the background from QCD multijet processes, efficient tau identification techniques with large fake rejection are essential. Since single variable criteria are not enough to efficiently separate them from jets and electrons, modern multivariate techniques are used. In ATLAS, several advanced algorithms are applied to identify taus, including a projective likelihood estimator and boosted decision trees. All multivariate methods applied to the ATLAS simulated data perform better than the baseline cut analysis. Their performance is shown using high energy data collected at the ATLAS experiment. The improvement ranges from a factor of 2 to 5 in rejection for the same efficiency, depending on the selected efficiency operating point and the number of prongs in the tau decay. The strengths and weaknesses of each technique are also discussed.

  5. MULTIVARIATE ACCOUNTING IN INTERNATIONAL FINANCIAL REPORTING STANDARDS

    Directory of Open Access Journals (Sweden)

    V. V. IEVDOKYMOV

    2017-03-01

    Full Text Available The necessity of the research on the basis of the positivist model of scientific knowledge is proved. The value of the conceptual framework in the process of bookkeeping selection is analyzed. The differences of the accounting selection adjustment procedure in US GAAP and IFRS are considered. The role and importance of the qualitative characteristics of financial reporting in the implementation of accounting selection are substantiated. The structure of the qualitative characteristics of financial reporting and their limitations under the Conceptual Framework for the preparation and presentation of financial statements are examined. The correlation between the accounting rules and alternatives adopted in US GAAP and IAS / IFRS is analyzed. The necessity to discuss the issue of the feasibility of «rule-oriented» or «principle-oriented» accounting model in the context of multivariate concept is studied. The authors prove the necessity of the application of institutional theory to solve the problems of accounting opportunism that arises when using the concept of multivariate accounting in International Financial Reporting Standards.

  6. An integrated multivariable artificial pancreas control system.

    Science.gov (United States)

    Turksoy, Kamuran; Quinn, Lauretta T; Littlejohn, Elizabeth; Cinar, Ali

    2014-05-01

    The objective was to develop a closed-loop (CL) artificial pancreas (AP) control system that uses continuous measurements of glucose concentration and physiological variables, integrated with a hypoglycemia early alarm module to regulate glucose concentration and prevent hypoglycemia. Eleven open-loop (OL) and 9 CL experiments were performed. A multivariable adaptive artificial pancreas (MAAP) system was used for the first 6 CL experiments. An integrated multivariable adaptive artificial pancreas (IMAAP) system consisting of MAAP augmented with a hypoglycemia early alarm system was used during the last 3 CL experiments. Glucose values and physical activity information were measured and transferred to the controller every 10 minutes and insulin suggestions were entered to the pump manually. All experiments were designed to be close to real-life conditions. Severe hypoglycemic episodes were seen several times during the OL experiments. With the MAAP system, the occurrence of severe hypoglycemia was decreased significantly (P < .01). No hypoglycemia was seen with the IMAAP system. There was also a significant difference (P < .01) between OL and CL experiments with regard to percentage of glucose concentration (54% vs 58%) that remained within target range (70-180 mg/dl). Integration of an adaptive control and hypoglycemia early alarm system was able to keep glucose concentration values in target range in patients with type 1 diabetes. Postprandial hypoglycemia and exercise-induced hypoglycemia did not occur when this system was used. Physical activity information improved estimation of the blood glucose concentration and effectiveness of the control system.

  7. HIGHER ORDER MULTIVARIABLE NORLUND EULER-BERNOULLI POLYNOMIALS

    Institute of Scientific and Technical Information of China (English)

    刘国栋

    2002-01-01

    The definitions of higher order multivariable Norlund Euler polynomials and Norlund Bernoulli polynomials are presented and some of their important properties are expounded. Some identities involving recurrence sequences and higher order multivariable Norlund Euler-Bernoulli polynomials are established.

  8. Shared Frailty Model for Left-Truncated Multivariate Survival Data

    DEFF Research Database (Denmark)

    Jensen, Henrik; Brookmeyer, Ron; Aaby, Peter;

    multivariate survival data, left truncation, multiplicative hazard model, shared gamma frailty, conditional model, piecewise exponential model, childhood survival......multivariate survival data, left truncation, multiplicative hazard model, shared gamma frailty, conditional model, piecewise exponential model, childhood survival...

  9. Derivatives of Multivariate Bernstein Operators and Smoothness with Jacobi Weights

    Directory of Open Access Journals (Sweden)

    Jianjun Wang

    2012-01-01

    Full Text Available Using the modulus of smoothness, directional derivatives of multivariate Bernstein operators with weights are characterized. The obtained results partly generalize the corresponding ones for multivariate Bernstein operators without weights.

  10. Calculus of multivariate functions: it's application in business | Awen ...

    African Journals Online (AJOL)

    Calculus of multivariate functions: it's application in business. ... AFRICAN JOURNALS ONLINE (AJOL) · Journals · Advanced Search · USING AJOL · RESOURCES ... Calculus of multivariate functions is a mathematical concept that has to do ...

  11. Influences of cultural differences on the translation of titles

    Institute of Scientific and Technical Information of China (English)

    田琦

    2007-01-01

    Every country in the world has titles since the ancient times which describe a person's social status or economic power.But because of the different cultures,there are many difficulties in the title translation.This dissertation talks about the cultural differences from these aspects: history,religion,thought,country situation,custom,and economy.And also,this dissertation gives five principles to the title translation.They are principles of levels,principles of changelessness,principles of shortness and conciseness,principles of common use,principles of exceptions.

  12. Learning Approaches toward Title Word Selection on Indic Script

    Directory of Open Access Journals (Sweden)

    P.Vijayapal Reddy

    2011-03-01

    Full Text Available Title is a compact representation of a document which distill the important information from the document. In this paper we studied the selection words as title words by using different learning approachesnamely nearest neighbor approach (NN, Naive Bayes approach with limited-vocabulary (NBL, Naive Bayes approach with full vocabulary (NBF and by using a term weighing approach (tf-idf. We compare theperformance of these approaches by using F1 metric. We compare the F1 metric results both on English Script and Indic Script ' Telugu'. We concluded the influence of linguistic complexity in the process of Title word selection.

  13. F100 Multivariable Control Synthesis Program. Computer Implementation of the F100 Multivariable Control Algorithm

    Science.gov (United States)

    Soeder, J. F.

    1983-01-01

    As turbofan engines become more complex, the development of controls necessitate the use of multivariable control techniques. A control developed for the F100-PW-100(3) turbofan engine by using linear quadratic regulator theory and other modern multivariable control synthesis techniques is described. The assembly language implementation of this control on an SEL 810B minicomputer is described. This implementation was then evaluated by using a real-time hybrid simulation of the engine. The control software was modified to run with a real engine. These modifications, in the form of sensor and actuator failure checks and control executive sequencing, are discussed. Finally recommendations for control software implementations are presented.

  14. A multivariate process capability index with a spatial coefficient

    Institute of Scientific and Technical Information of China (English)

    Wang Shaoxi; Wang Mingxin; Fan Xiaoya; Zhang Shengbing; Han Ru

    2013-01-01

    After analyzing the multivariate Cpm method (Chan et al.1991),this paper presents a spatial multivariate process capability index (PCI) method,which can solve a multivariate off-centered case and may provide references for assuring and improving process quality level while achieving an overall evaluation of process quality.Examples for calculating multivariate PCI are given and the experimental results show that the systematic method presented is effective and actual.

  15. On the Conditional Distribution of the Multivariate $t$ Distribution

    OpenAIRE

    Ding, Peng

    2016-01-01

    As alternatives to the normal distributions, $t$ distributions are widely applied in robust analysis for data with outliers or heavy tails. The properties of the multivariate $t$ distribution are well documented in Kotz and Nadarajah's book, which, however, states a wrong conclusion about the conditional distribution of the multivariate $t$ distribution. Previous literature has recognized that the conditional distribution of the multivariate $t$ distribution also follows the multivariate $t$ ...

  16. Do QEEG topographic map data have a multivariate normal distribution? Implications for tests of individual maps.

    Science.gov (United States)

    Lawson, J S; Adams, S J; Brunet, D G; Criollo, M; Galin, H; MacCrimmon, D J

    1998-01-01

    The study was designed to test whether topographic map data expressed in log power units have a multivariate normal (MVN) distribution in a healthy population, and to determine if any deviation from normality poses serious difficulties for the use of standard multivariate statistical tests in assessing the significance of deformations of the map in individual cases. Data on 361 healthy adults using 20 electrodes in the classic 10/20 configuration were recorded in six frequency bands. The log-transformed power data were shown to deviate markedly from MVN. The actual distributions of multivariate tests were computed for the sample using the 'jackknife' method, and shown to deviate markedly from the F-distributions that would be expected for MVN data. These 'jackknife' sampling distributions were then used to demonstrate significant deformations in the topographic maps of a patient who had sustained traumatic head injury.

  17. Approaches to sample size determination for multivariate data

    NARCIS (Netherlands)

    Saccenti, Edoardo; Timmerman, Marieke E.

    2016-01-01

    Sample size determination is a fundamental step in the design of experiments. Methods for sample size determination are abundant for univariate analysis methods, but scarce in the multivariate case. Omics data are multivariate in nature and are commonly investigated using multivariate statistical

  18. Contributions to multivariate analysis with applications in marketing

    NARCIS (Netherlands)

    Perlo-ten Kleij, Frederieke van

    2004-01-01

    Dit proefschrift behandelt een aantal onderwerpen uit de multivariate analyse, waarbij het begrip ‘multivariate analyse’ ruim moet worden ge¨ınterpreteerd. Naast onderwerpen uit de multivariate statistiek in enge zin, besteden we ook aandacht aan matrixrekening, ‘sum-constrained linear models’, mark

  19. Contributions to multivariate analysis with applications in marketing

    NARCIS (Netherlands)

    Perlo-ten Kleij, Frederieke van

    2004-01-01

    Dit proefschrift behandelt een aantal onderwerpen uit de multivariate analyse, waarbij het begrip ‘multivariate analyse’ ruim moet worden ge¨ınterpreteerd. Naast onderwerpen uit de multivariate statistiek in enge zin, besteden we ook aandacht aan matrixrekening, ‘sum-constrained linear models’,

  20. COMMUNITY VERSUS BIOCOENOSIS IN MULTIVARIATE ANALYSIS OF BENTHIC MOLLUSCAN THANATOCOENOSES

    Directory of Open Access Journals (Sweden)

    DANIELA BASSO

    2002-03-01

    Full Text Available Community and biocoenosis as descriptive units for benthic ecology are not perfectly interchangeable. Although the conceptual framework based on communities, originally defined by a statistical quantitative approach, appears to be the most suitable in the statistical treatment of thanatocoenoses data, this framework appears to oversimplify the picture of the most important ecological units in the Mediterranean benthos. On the contrary, the benthic bionomy with the biocoenoses, identified by a group of characteristic species (disregarding their abundance derives from a qualitative approach which has been more successfully adopted for the research in the Mediterranean area. A group of twelve thanatocoenoses from the Tyrrhenian Sea has been treated with both approaches with the aim to identify a practical strategy for analysing multispecies distribution patterns in benthic paleoecology, trying to combine the advantages of both quantitative and qualitative approaches. When dealing with large-sized data matrices of benthic thanatocoenoses, it is recommended to use a qualitative approach for data reduction, on the basis of their significance in benthic bionomy, prior to perform the quantitative multivariate analysis (classification, ordination, similarity and dissimilarity analysis. This procedure appears to be the most suitable for the identification of “natural” grouping of biotopes, since the results are not obscured by the diffuse occurrence of the most common and ubiquitous species. 

  1. Units for the Laboratory of Industries.

    Science.gov (United States)

    Gorham State Coll., ME.

    This institute focused on manufacturing industries for junior high industrial arts. It was attended by 20 teachers from 14 states who worked in four groups to develop pairs of instructional units titled "Introduction to Technology and Industrial Arts." Each of these units covers personnel management, engineering, production, finance, and…

  2. Statistics On Title II Direct Payments To Claimant Representatives

    Data.gov (United States)

    Social Security Administration — Every person has the right to be represented by an attorney or other representative while pursuing a claim or other rights. This dataset contains data around Title...

  3. Formal Land Titling vs. Small and Medium Enterprises' (SMEs ...

    African Journals Online (AJOL)

    Nneka Umera-Okeke

    Indexed African Journals Online: www.ajol.info. AN INTERNATIONAL ... Key Words: Credit Access, Land, Formal Title, SMEs, South-Western Nigerian ... growth, there are extensive number of challenges and constraints confronting the sector.

  4. [Title conveyance: Fish Springs National Wildlife Refuge: Papers and documentation

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is a collection of documents pertaining to title conveyance of Fish Springs National Wildlife Refuge. The following material is included; tract description,...

  5. Settling Title VII Disputes: A Role for the Arbitrator

    Science.gov (United States)

    Owens, Stephen D.

    1976-01-01

    Selected arbitration cases illustrate the dilemma facing the arbitrator when employment practices that violate both the collective bargaining agreement and Title VII must be resolved. Problems in dealing with race and sex discrimination are discussed. (LBH)

  6. 32 CFR 644.69 - Title Clearance-Easements.

    Science.gov (United States)

    2010-07-01

    ... separate document in the Final Title Assembly submitted to HQDA (DAEN-REA-P) WASH DC 20314. (b) Easements..., except those which may be administratively waived, those which may be eliminated by the payment of money...

  7. WORLD TITLE BOXING: FROM EARLY BEGINNINGS TO THE FIRST BELL

    Directory of Open Access Journals (Sweden)

    Marc Ramsay

    2009-11-01

    Full Text Available There is scant literature where applied sport scientists have considered first hand experiences preparing professional boxers for world title bouts. The present submission reflects more than 10 years of applied experience working with professional boxers, residing in Canada. What follows is a composite of sequential steps that ownership and coaching staff of one Canadian management group have tried leading up to more than 20 world title bout experiences. The strategies proposed have been built progressively over time, and what follows is a general overview of a more detailed pre-bout structure from shortly in advance of a world title bout offer to the moment when the athlete enters the ring to perform. We propose that an effective structure is founded upon detailed a priori preparation, tactical decisions throughout bout preparation, and a thorough understanding by the athlete of what he will encounter during the title bout

  8. Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods

    DEFF Research Database (Denmark)

    Arenas-Garcia, J.; Petersen, K.; Camps-Valls, G.

    2013-01-01

    sources become more common. A plethora of feature extraction methods are available in the literature collectively grouped under the field of multivariate analysis (MVA). This article provides a uniform treatment of several methods: principal component analysis (PCA), partial least squares (PLS), canonical...

  9. Multivariate predictors of failed prehospital endotracheal intubation.

    Science.gov (United States)

    Wang, Henry E; Kupas, Douglas F; Paris, Paul M; Bates, Robyn R; Costantino, Joseph P; Yealy, Donald M

    2003-07-01

    Conventionally trained out-of-hospital rescuers (such as paramedics) often fail to accomplish endotracheal intubation (ETI) in patients requiring invasive airway management. Previous studies have identified univariate variables associated with failed out-of-hospital ETI but have not examined the interaction between the numerous factors impacting ETI success. This study sought to use multivariate logistic regression to identify a set of factors associated with failed adult out-of-hospital ETI. The authors obtained clinical and demographic data from the Prehospital Airway Collaborative Evaluation, a prospective, multicentered observational study involving advanced life support (ALS) emergency medical services (EMS) systems in the Commonwealth of Pennsylvania. Providers used standard forms to report details of attempted ETI, including system and patient demographics, methods used, difficulties encountered, and initial outcomes. The authors excluded data from sedation-facilitated and neuromuscular blockade-assisted intubations. The main outcome measure was ETI failure, defined as failure to successfully place an endotracheal tube on the last out-of-hospital laryngoscopy attempt. Logistic regression was performed to develop a multivariate model identifying factors associated with failed ETI. Data were used from 45 ALS systems on 663 adult ETIs attempted during the period June 1, 2001, to November 30, 2001. There were 89 cases of failed ETI (failure rate 13.4%). Of 61 factors potentially related to ETI failure, multivariate logistic regression revealed the following significant covariates associated with ETI failure (odds ratio; 95% confidence interval; likelihood ratio p-value): presence of clenched jaw/trismus (9.718; 95% CI = 4.594 to 20.558; p endotracheal tube through the vocal cords (7.653; 95% CI = 3.561 to 16.447; p < 0.0001); inability to visualize the vocal cords (7.638; 95% CI = 3.966 to 14.707; p < 0.0001); intact gag reflex (7.060; 95% CI = 3.552 to 14

  10. Adaptive Rank Penalized Estimators in Multivariate Regression

    CERN Document Server

    Bunea, Florentina; Wegkamp, Marten

    2010-01-01

    We introduce a new criterion, the Rank Selection Criterion (RSC), for selecting the optimal reduced rank estimator of the coefficient matrix in multivariate response regression models. The corresponding RSC estimator minimizes the Frobenius norm of the fit plus a regularization term proportional to the number of parameters in the reduced rank model. The rank of the RSC estimator provides a consistent estimator of the rank of the coefficient matrix. The consistency results are valid not only in the classic asymptotic regime, when the number of responses $n$ and predictors $p$ stays bounded, and the number of observations $m$ grows, but also when either, or both, $n$ and $p$ grow, possibly much faster than $m$. Our finite sample prediction and estimation performance bounds show that the RSC estimator achieves the optimal balance between the approximation error and the penalty term. Furthermore, our procedure has very low computational complexity, linear in the number of candidate models, making it particularly ...

  11. Generation of hierarchically correlated multivariate symbolic sequences

    CERN Document Server

    Tumminello, Mi; Mantegna, R N

    2008-01-01

    We introduce an algorithm to generate multivariate series of symbols from a finite alphabet with a given hierarchical structure of similarities. The target hierarchical structure of similarities is arbitrary, for instance the one obtained by some hierarchical clustering procedure as applied to an empirical matrix of Hamming distances. The algorithm can be interpreted as the finite alphabet equivalent of the recently introduced hierarchically nested factor model (M. Tumminello et al. EPL 78 (3) 30006 (2007)). The algorithm is based on a generating mechanism that is different from the one used in the mutation rate approach. We apply the proposed methodology for investigating the relationship between the bootstrap value associated with a node of a phylogeny and the probability of finding that node in the true phylogeny.

  12. FACT. Multivariate extraction of muon ring images

    Energy Technology Data Exchange (ETDEWEB)

    Noethe, Maximilian; Temme, Fabian; Buss, Jens [Experimentelle Physik 5b, TU Dortmund, Dortmund (Germany); Collaboration: FACT-Collaboration

    2016-07-01

    In ground-based gamma-ray astronomy, muon ring images are an important event class for instrument calibration and monitoring of its properties. In this talk, a multivariate approach will be presented, that is well suited for real time extraction of muons from data streams of Imaging Atmospheric Cherenkov Telescopes (IACT). FACT, the First G-APD Cherenkov Telescope is located on the Canary Island of La Palma and is the first IACT to use Silicon Photomultipliers for detecting the Cherenkov photons of extensive air showers. In case of FACT, the extracted muon events are used to calculate the time resolution of the camera. In addition, the effect of the mirror alignment in May 2014 on properties of detected muons is investigated. Muon candidates are identified with a random forest classification algorithm. The performance of the classifier is evaluated for different sets of image parameters in order to compare the gain in performance with the computational costs of their calculation.

  13. Astrocladistics: Multivariate Evolutionary Analysis in Astrophysics

    CERN Document Server

    Fraix-Burnet, Didier

    2010-01-01

    The Hubble tuning fork diagram, based on morphology and established in the 1930s, has always been the preferred scheme for classification of galaxies. However, the current large amount of data up to higher and higher redshifts asks for more sophisticated statistical approaches like multivariate analyses. Clustering analyses are still very confidential, and do not take into account the unavoidable characteristics in our Universe: evolution. Assuming branching evolution of galaxies as a 'transmission with modification', we have shown that the concepts and tools of phylogenetic systematics (cladistics) can be heuristically transposed to the case of galaxies. This approach that we call "astrocladistics", has now successfully been applied on several samples of galaxies and globular clusters. Maximum parsimony and distance-based approaches are the most popular methods to produce phylogenetic trees and, like most other studies, we had to discretize our variables. However, since astrophysical data are intrinsically c...

  14. Multivariate refinement equation with nonnegative masks

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    This paper is concerned with multivariate refinement equations of the type ψ = ∑α∈Zs a(α)ψ(Mx - α),where ψ is the unknown function defined on the s-dimensional Euclidean space Rs, a is a finitely supported nonnegative sequence on Zs, and M is an s × s dilation matrix with m := |detM|. We characterize the existence of L2-solution of refinement equation in terms of spectral radius of a certain finite matrix or transition operator associated with refinement mask a and dilation matrix M. For s = 1 and M = 2, the sufficient and necessary conditions are obtained to characterize the existence of continuous solution of this refinement equation.

  15. Lectures in feedback design for multivariable systems

    CERN Document Server

    Isidori, Alberto

    2017-01-01

    This book focuses on methods that relate, in one form or another, to the “small-gain theorem”. It is aimed at readers who are interested in learning methods for the design of feedback laws for linear and nonlinear multivariable systems in the presence of model uncertainties. With worked examples throughout, it includes both introductory material and more advanced topics. Divided into two parts, the first covers relevant aspects of linear-systems theory, the second, nonlinear theory. In order to deepen readers’ understanding, simpler single-input–single-output systems generally precede treatment of more complex multi-input–multi-output (MIMO) systems and linear systems precede nonlinear systems. This approach is used throughout, including in the final chapters, which explain the latest advanced ideas governing the stabilization, regulation, and tracking of nonlinear MIMO systems. Two major design problems are considered, both in the presence of model uncertainties: asymptotic stabilization with a “...

  16. International Conference on Measurement and Multivariate Analysis

    CERN Document Server

    Baba, Yasumasa; Bozdogan, Hamparsum; Kanefuji, Koji; Measurement and Multivariate Analysis

    2002-01-01

    Diversity is characteristic of the information age and also of statistics. To date, the social sciences have contributed greatly to the development of handling data under the rubric of measurement, while the statistical sciences have made phenomenal advances in theory and algorithms. Measurement and Multivariate Analysis promotes an effective interplay between those two realms of research-diversity with unity. The union and the intersection of those two areas of interest are reflected in the papers in this book, drawn from an international conference in Banff, Canada, with participants from 15 countries. In five major categories - scaling, structural analysis, statistical inference, algorithms, and data analysis - readers will find a rich variety of topics of current interest in the extended statistical community.

  17. Modelling lifetime data with multivariate Tweedie distribution

    Science.gov (United States)

    Nor, Siti Rohani Mohd; Yusof, Fadhilah; Bahar, Arifah

    2017-05-01

    This study aims to measure the dependence between individual lifetimes by applying multivariate Tweedie distribution to the lifetime data. Dependence between lifetimes incorporated in the mortality model is a new form of idea that gives significant impact on the risk of the annuity portfolio which is actually against the idea of standard actuarial methods that assumes independent between lifetimes. Hence, this paper applies Tweedie family distribution to the portfolio of lifetimes to induce the dependence between lives. Tweedie distribution is chosen since it contains symmetric and non-symmetric, as well as light-tailed and heavy-tailed distributions. Parameter estimation is modified in order to fit the Tweedie distribution to the data. This procedure is developed by using method of moments. In addition, the comparison stage is made to check for the adequacy between the observed mortality and expected mortality. Finally, the importance of including systematic mortality risk in the model is justified by the Pearson's chi-squared test.

  18. Generation of multivariate Hermite interpolating polynomials

    CERN Document Server

    Tavares, Santiago Alves

    2005-01-01

    Generation of Multivariate Hermite Interpolating Polynomials advances the study of approximate solutions to partial differential equations by presenting a novel approach that employs Hermite interpolating polynomials and bysupplying algorithms useful in applying this approach.Organized into three sections, the book begins with a thorough examination of constrained numbers, which form the basis for constructing interpolating polynomials. The author develops their geometric representation in coordinate systems in several dimensions and presents generating algorithms for each level number. He then discusses their applications in computing the derivative of the product of functions of several variables and in the construction of expression for n-dimensional natural numbers. Section II focuses on the construction of Hermite interpolating polynomials, from their characterizing properties and generating algorithms to a graphical analysis of their behavior. The final section of the book is dedicated to the applicatio...

  19. Classification of adulterated honeys by multivariate analysis.

    Science.gov (United States)

    Amiry, Saber; Esmaiili, Mohsen; Alizadeh, Mohammad

    2017-06-01

    In this research, honey samples were adulterated with date syrup (DS) and invert sugar syrup (IS) at three concentrations (7%, 15% and 30%). 102 adulterated samples were prepared in six batches with 17 replications for each batch. For each sample, 32 parameters including color indices, rheological, physical, and chemical parameters were determined. To classify the samples, based on type and concentrations of adulterant, a multivariate analysis was applied using principal component analysis (PCA) followed by a linear discriminant analysis (LDA). Then, 21 principal components (PCs) were selected in five sets. Approximately two-thirds were identified correctly using color indices (62.75%) or rheological properties (67.65%). A power discrimination was obtained using physical properties (97.06%), and the best separations were achieved using two sets of chemical properties (set 1: lactone, diastase activity, sucrose - 100%) (set 2: free acidity, HMF, ash - 95%). Copyright © 2016 Elsevier Ltd. All rights reserved.

  20. Multivariate Markov chain modeling for stock markets

    Science.gov (United States)

    Maskawa, Jun-ichi

    2003-06-01

    We study a multivariate Markov chain model as a stochastic model of the price changes of portfolios in the framework of the mean field approximation. The time series of price changes are coded into the sequences of up and down spins according to their signs. We start with the discussion for small portfolios consisting of two stock issues. The generalization of our model to arbitrary size of portfolio is constructed by a recurrence relation. The resultant form of the joint probability of the stationary state coincides with Gibbs measure assigned to each configuration of spin glass model. Through the analysis of actual portfolios, it has been shown that the synchronization of the direction of the price changes is well described by the model.

  1. Multivariate analysis of data in sensory science

    CERN Document Server

    Naes, T; Risvik, E

    1996-01-01

    The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis. The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques. Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.

  2. Multivariate analysis applied to tomato hybrid production.

    Science.gov (United States)

    Balasch, S; Nuez, F; Palomares, G; Cuartero, J

    1984-11-01

    Twenty characters were measured on 60 tomato varieties cultivated in the open-air and in polyethylene plastic-house. Data were analyzed by means of principal components, factorial discriminant methods, Mahalanobis D(2) distances and principal coordinate techniques. Factorial discriminant and Mahalanobis D(2) distances methods, both of which require collecting data plant by plant, lead to similar conclusions as the principal components method that only requires taking data by plots. Characters that make up the principal components in both environments studied are the same, although the relative importance of each one of them varies within the principal components. By combining information supplied by multivariate analysis with the inheritance mode of characters, crossings among cultivars can be experimented with that will produce heterotic hybrids showing characters within previously established limits.

  3. Urban water quality evaluation using multivariate analysis

    Directory of Open Access Journals (Sweden)

    Petr Praus

    2007-06-01

    Full Text Available A data set, obtained for the sake of drinking water quality monitoring, was analysed by multivariate methods. Principal component analysis (PCA reduced the data dimensionality from 18 original physico-chemical and microbiological parameters determined in drinking water samples to 6 principal components explaining about 83 % of the data variability. These 6 components represented inorganic salts, nitrate/pH, iron, chlorine, nitrite/ammonium traces, and heterotrophic bacteria. Using the PCA scatter plot and the Ward's clustering of the samples characterized by the first and second principal components, three clusters were revealed. These clusters sorted drinking water samples according to their origin - ground and surface water. The PCA results were confirmed by the factor analysis and hierarchical clustering of the original data.

  4. A Gibbs Sampler for Multivariate Linear Regression

    CERN Document Server

    Mantz, Adam B

    2015-01-01

    Kelly (2007, hereafter K07) described an efficient algorithm, using Gibbs sampling, for performing linear regression in the fairly general case where non-zero measurement errors exist for both the covariates and response variables, where these measurements may be correlated (for the same data point), where the response variable is affected by intrinsic scatter in addition to measurement error, and where the prior distribution of covariates is modeled by a flexible mixture of Gaussians rather than assumed to be uniform. Here I extend the K07 algorithm in two ways. First, the procedure is generalized to the case of multiple response variables. Second, I describe how to model the prior distribution of covariates using a Dirichlet process, which can be thought of as a Gaussian mixture where the number of mixture components is learned from the data. I present an example of multivariate regression using the extended algorithm, namely fitting scaling relations of the gas mass, temperature, and luminosity of dynamica...

  5. Attribute Extraction from Product Titles in eCommerce

    OpenAIRE

    More, Ajinkya

    2016-01-01

    This paper presents a named entity extraction system for detecting attributes in product titles of eCommerce retailers like Walmart. The absence of syntactic structure in such short pieces of text makes extracting attribute values a challenging problem. We find that combining sequence labeling algorithms such as Conditional Random Fields and Structured Perceptron with a curated normalization scheme produces an effective system for the task of extracting product attribute values from titles. T...

  6. Exploration of new multivariate spectral calibration algorithms.

    Energy Technology Data Exchange (ETDEWEB)

    Van Benthem, Mark Hilary; Haaland, David Michael; Melgaard, David Kennett; Martin, Laura Elizabeth; Wehlburg, Christine Marie; Pell, Randy J. (The Dow Chemical Company, Midland, MI); Guenard, Robert D. (Merck & Co. Inc., West Point, PA)

    2004-03-01

    A variety of multivariate calibration algorithms for quantitative spectral analyses were investigated and compared, and new algorithms were developed in the course of this Laboratory Directed Research and Development project. We were able to demonstrate the ability of the hybrid classical least squares/partial least squares (CLSIPLS) calibration algorithms to maintain calibrations in the presence of spectrometer drift and to transfer calibrations between spectrometers from the same or different manufacturers. These methods were found to be as good or better in prediction ability as the commonly used partial least squares (PLS) method. We also present the theory for an entirely new class of algorithms labeled augmented classical least squares (ACLS) methods. New factor selection methods are developed and described for the ACLS algorithms. These factor selection methods are demonstrated using near-infrared spectra collected from a system of dilute aqueous solutions. The ACLS algorithm is also shown to provide improved ease of use and better prediction ability than PLS when transferring calibrations between near-infrared calibrations from the same manufacturer. Finally, simulations incorporating either ideal or realistic errors in the spectra were used to compare the prediction abilities of the new ACLS algorithm with that of PLS. We found that in the presence of realistic errors with non-uniform spectral error variance across spectral channels or with spectral errors correlated between frequency channels, ACLS methods generally out-performed the more commonly used PLS method. These results demonstrate the need for realistic error structure in simulations when the prediction abilities of various algorithms are compared. The combination of equal or superior prediction ability and the ease of use of the ACLS algorithms make the new ACLS methods the preferred algorithms to use for multivariate spectral calibrations.

  7. Multivariate Nonlinear Analysis and Prediction of Shanghai Stock Market

    Directory of Open Access Journals (Sweden)

    Junhai Ma

    2008-01-01

    Full Text Available This study attempts to characterize and predict stock returns series in Shanghai stock exchange using the concepts of nonlinear dynamical theory. Surrogate data method of multivariate time series shows that all the stock returns time series exhibit nonlinearity. Multivariate nonlinear prediction methods and univariate nonlinear prediction method, all of which use the concept of phase space reconstruction, are considered. The results indicate that multivariate nonlinear prediction model outperforms univariate nonlinear prediction model, local linear prediction method of multivariate time series outperforms local polynomial prediction method, and BP neural network method. Multivariate nonlinear prediction model is a useful tool for stock price prediction in emerging markets.

  8. Method for statistical data analysis of multivariate observations

    CERN Document Server

    Gnanadesikan, R

    1997-01-01

    A practical guide for multivariate statistical techniques-- now updated and revised In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of inte

  9. Analyzing Multiple Multivariate Time Series Data Using Multilevel Dynamic Factor Models.

    Science.gov (United States)

    Song, Hairong; Zhang, Zhiyong

    2014-01-01

    Multivariate time series data offer researchers opportunities to study dynamics of various systems in social and behavioral sciences. Dynamic factor model (DFM), as an idiographic approach for studying intraindividual variability and dynamics, has typically been applied to time series data obtained from a single unit. When multivariate time series data are collected from multiple units, how to synchronize dynamical information becomes a silent issue. To address this issue, the current study presented a multilevel dynamic factor model (MDFM) that analyzes multiple multivariate time series in multilevel SEM frameworks. MDFM not only disentangles within- and between-person variability but also models dynamics of the intraindividual processes. To illustrate the uses of MDFMs, we applied lag0, lag1, and lag2 MDFMs to empirical data on affect collected from 205 dating couples who had at least 50 consecutive days of observations. We also considered a model extension where the dynamical coefficients were allowed to be randomly varying in the population. The empirical analysis yielded interesting findings regarding affect regulation and coregulation within couples, demonstrating promising uses of MDFMs in analyzing multiple multivariate time series. In the end, we discussed a number of methodological issues in the applications of MDFMs and pointed out possible directions for future research.

  10. Deconstructing multivariate decoding for the study of brain function.

    Science.gov (United States)

    Hebart, Martin N; Baker, Chris I

    2017-08-04

    Multivariate decoding methods were developed originally as tools to enable accurate predictions in real-world applications. The realization that these methods can also be employed to study brain function has led to their widespread adoption in the neurosciences. However, prior to the rise of multivariate decoding, the study of brain function was firmly embedded in a statistical philosophy grounded on univariate methods of data analysis. In this way, multivariate decoding for brain interpretation grew out of two established frameworks: multivariate decoding for predictions in real-world applications, and classical univariate analysis based on the study and interpretation of brain activation. We argue that this led to two confusions, one reflecting a mixture of multivariate decoding for prediction or interpretation, and the other a mixture of the conceptual and statistical philosophies underlying multivariate decoding and classical univariate analysis. Here we attempt to systematically disambiguate multivariate decoding for the study of brain function from the frameworks it grew out of. After elaborating these confusions and their consequences, we describe six, often unappreciated, differences between classical univariate analysis and multivariate decoding. We then focus on how the common interpretation of what is signal and noise changes in multivariate decoding. Finally, we use four examples to illustrate where these confusions may impact the interpretation of neuroimaging data. We conclude with a discussion of potential strategies to help resolve these confusions in interpreting multivariate decoding results, including the potential departure from multivariate decoding methods for the study of brain function. Copyright © 2017. Published by Elsevier Inc.

  11. Developing the Fundamental Theorem of Calculus. Applications of Calculus to Work, Area, and Distance Problems. [and] Atmospheric Pressure in Relation to Height and Temperature. Applications of Calculus to Atmospheric Pressure. [and] The Gradient and Some of Its Applications. Applications of Multivariate Calculus to Physics. [and] Kepler's Laws and the Inverse Square Law. Applications of Calculus to Physics. UMAP Units 323, 426, 431, 473.

    Science.gov (United States)

    Lindstrom, Peter A.; And Others

    This document consists of four units. The first of these views calculus applications to work, area, and distance problems. It is designed to help students gain experience in: 1) computing limits of Riemann sums; 2) computing definite integrals; and 3) solving elementary area, distance, and work problems by integration. The second module views…

  12. Aboriginal Determination: Native Title Claims and Barriers to Recognition

    Directory of Open Access Journals (Sweden)

    Zia Akhtar

    2011-09-01

    Full Text Available The Australian government has proposed a referendum in 2012 to decide the constitutional status of its indigenous people. There is at present no mechanism to define the indigenous people as a domestic or foreign entity of the Commonwealth. This is an important issue because other settler governments have developed a framework to implement their relationship with the native people. As a result, it is difficult prove title to land that has been abrogated by the deeds of the settlers. In Mabo v Queensland (2,the Commonwealth government was found to have breached its fiduciary duty to the Aboriginal peoples. The judgment led to the Native Title Act 1993 that established the process of asserting native rights that were held to coexist with pastoral ownership. The promulgation of the Native Title Amendment Act 1998 reversed this process and augmented the powers of non-native landlords by providing the device to extinguish native rights. In Western Australia v Ward, a mining lease was held to have precedence over native title that was adjudged to be part of a bundle of rights. In implementing the Native Title Act the issue turns on the determination of the ties to land/ sea that the government allows to the Aboriginal peoples. The judgment in Harrington-Smith on behalf of the Wongatha People v Western Australia indicates that title can be excluded on procedural grounds and that there was an incompatibility between the claims of the Aboriginal peoples and the settlers’ claims. The road map towards a more effective regime of proving title can be achieved if the Aboriginal peoples are granted recognition as a nation in the Constitution and a treaty is signed with them.

  13. Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure.

    Science.gov (United States)

    Li, Yanming; Nan, Bin; Zhu, Ji

    2015-06-01

    We propose a multivariate sparse group lasso variable selection and estimation method for data with high-dimensional predictors as well as high-dimensional response variables. The method is carried out through a penalized multivariate multiple linear regression model with an arbitrary group structure for the regression coefficient matrix. It suits many biology studies well in detecting associations between multiple traits and multiple predictors, with each trait and each predictor embedded in some biological functional groups such as genes, pathways or brain regions. The method is able to effectively remove unimportant groups as well as unimportant individual coefficients within important groups, particularly for large p small n problems, and is flexible in handling various complex group structures such as overlapping or nested or multilevel hierarchical structures. The method is evaluated through extensive simulations with comparisons to the conventional lasso and group lasso methods, and is applied to an eQTL association study.

  14. Application of Maxent Multivariate Analysis to Define Climate-Change Effects on Species Distributions and Changes

    Science.gov (United States)

    2014-09-01

    physical geography, or physiography. A digital version of the classic Physiographic Regions of the United States8 map was acquired and submitted as a...Precipitation of Driest Month, and Bio17–Precipitation of Driest Quarter are the top three contributors, and explain 85.7% of the model inputs. So warmth and...define the ranges of species based on a multivariate statistical approach. The theoret- ical basis is derived from a first principle of physics —the

  15. An overview of multivariate gamma distributions as seen from a (multivariate) matrix exponential perspective

    DEFF Research Database (Denmark)

    Bladt, Mogens; Nielsen, Bo Friis

    2012-01-01

    of these distributions further belongs to an important subclass of MVME distributions [5, 1] where the multivariate random vector can be interpreted as a number of simultaneously collected rewards during sojourns in a the states of a Markov chain with one absorbing state, the rest of the states being transient. We......], [7], traffic modeling [8], and, finance [2]. It is our hope that our the paper will assist practitioners in formulating and analyzing models in a much more transparent and easily accessible way....

  16. Multivariate semiparametric spatial methods for imaging data.

    Science.gov (United States)

    Chen, Huaihou; Cao, Guanqun; Cohen, Ronald A

    2017-04-01

    Univariate semiparametric methods are often used in modeling nonlinear age trajectories for imaging data, which may result in efficiency loss and lower power for identifying important age-related effects that exist in the data. As observed in multiple neuroimaging studies, age trajectories show similar nonlinear patterns for the left and right corresponding regions and for the different parts of a big organ such as the corpus callosum. To incorporate the spatial similarity information without assuming spatial smoothness, we propose a multivariate semiparametric regression model with a spatial similarity penalty, which constrains the variation of the age trajectories among similar regions. The proposed method is applicable to both cross-sectional and longitudinal region-level imaging data. We show the asymptotic rates for the bias and covariance functions of the proposed estimator and its asymptotic normality. Our simulation studies demonstrate that by borrowing information from similar regions, the proposed spatial similarity method improves the efficiency remarkably. We apply the proposed method to two neuroimaging data examples. The results reveal that accounting for the spatial similarity leads to more accurate estimators and better functional clustering results for visualizing brain atrophy pattern.Functional clustering; Longitudinal magnetic resonance imaging (MRI); Penalized B-splines; Region of interest (ROI); Spatial penalty.

  17. A multivariate approach in measuring innovation performance

    Directory of Open Access Journals (Sweden)

    Elżbieta Roszko-Wójtowicz

    2016-12-01

    Full Text Available The goal of this research is to propose a procedure of innovativeness measurement, taking Summary Innovation Index methodology as a starting point. In contemporary world, innovative activity is perceived as a source of competitiveness and economic growth. New products, utility models, trademarks and creative projects are an important element of present socio-economic reality. In particular, authors focus on selection and application of multivariable statistical analysis to distinguish factors influencing innovativeness of EU economies to the highest degree. The result of quantitative analyses is linear ordering of EU countries by the level of their innovativeness based on the reduced set of diagnostic variables. The rating was compared with the outcome presented in Innovation Union Scoreboard (IUS with Summary Innovation Index (SII. Conducted analysis proves a convergence between authors’ results and existing ratings of innovativeness. Nevertheless, the main conclusion is that the methodology of innovativeness assessment remains an open issue and requires further research. Especially, it should first and foremost concentrate on deeper verification of a small set of variables that have the strongest impact on innovativeness. It is both, in economic and social interest, to get a clear picture of innovativeness driving forces.

  18. A multivariate exploration of basic symptoms.

    Science.gov (United States)

    Rubino, I Alex; Ciani, Nicola

    2002-01-01

    Little is known about the relationship between the different categories of basic symptoms (BS). Researchers of the Bonn School have accurately described the progression from second-level BS (relatively characteristic BS) to first-rank Schneiderian symptoms. Using a multiple regression model, the present study tried to investigate which kind of dynamic deficiencies (DDs; uncharacteristic first-level BS) mostly lead to each type of second-level BS. A group of 108 patients with a DSM-III-R diagnosis of schizophrenia completed an inventory on BS, with all items in strict accordance with those of the Bonn Scale. Five dependent variables (cognitive thought disorders, cognitive perception disorders, cognitive action disorders, increased impressionability, cenesthesias) and four independent variables (DDs with direct negative symptoms, DDs with indirect negative symptoms, affective DDs, relational DDs) were considered. Among the significant findings, a widespread contribution of DDs with indirect negative symptoms to most of the dependent variables, and the special role of DDs with direct negative symptoms as a predictor of cognitive thought disorders, must be emphasized. Suggestions for further multivariate studies in the field of BS are presented.

  19. Algorithms for Testing Monomials in Multivariate Polynomials

    CERN Document Server

    Chen, Zhixiang; Liu, Yang; Schweller, Robert

    2010-01-01

    This paper is our second step towards developing a theory of testing monomials in multivariate polynomials. The central question is to ask whether a polynomial represented by an arithmetic circuit has some types of monomials in its sum-product expansion. The complexity aspects of this problem and its variants have been investigated in our first paper by Chen and Fu (2010), laying a foundation for further study. In this paper, we present two pairs of algorithms. First, we prove that there is a randomized $O^*(p^k)$ time algorithm for testing $p$-monomials in an $n$-variate polynomial of degree $k$ represented by an arithmetic circuit, while a deterministic $O^*(6.4^k + p^k)$ time algorithm is devised when the circuit is a formula, here $p$ is a given prime number. Second, we present a deterministic $O^*(2^k)$ time algorithm for testing multilinear monomials in $\\Pi_m\\Sigma_2\\Pi_t\\times \\Pi_k\\Pi_3$ polynomials, while a randomized $O^*(1.5^k)$ algorithm is given for these polynomials. The first algorithm extends...

  20. Cross-covariance functions for multivariate geostatistics

    KAUST Repository

    Genton, Marc G.

    2015-05-01

    Continuously indexed datasets with multiple variables have become ubiquitous in the geophysical, ecological, environmental and climate sciences, and pose substantial analysis challenges to scientists and statisticians. For many years, scientists developed models that aimed at capturing the spatial behavior for an individual process; only within the last few decades has it become commonplace to model multiple processes jointly. The key difficulty is in specifying the cross-covariance function, that is, the function responsible for the relationship between distinct variables. Indeed, these cross-covariance functions must be chosen to be consistent with marginal covariance functions in such a way that the second-order structure always yields a nonnegative definite covariance matrix. We review the main approaches to building cross-covariance models, including the linear model of coregionalization, convolution methods, the multivariate Matérn and nonstationary and space-time extensions of these among others. We additionally cover specialized constructions, including those designed for asymmetry, compact support and spherical domains, with a review of physics-constrained models. We illustrate select models on a bivariate regional climate model output example for temperature and pressure, along with a bivariate minimum and maximum temperature observational dataset; we compare models by likelihood value as well as via cross-validation co-kriging studies. The article closes with a discussion of unsolved problems. © Institute of Mathematical Statistics, 2015.

  1. Multivariate volume visualization through dynamic projections

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Shusen [Univ. of Utah, Salt Lake City, UT (United States); Wang, Bei [Univ. of Utah, Salt Lake City, UT (United States); Thiagarajan, Jayaraman J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Bremer, Peer -Timo [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Pascucci, Valerio [Univ. of Utah, Salt Lake City, UT (United States)

    2014-11-01

    We propose a multivariate volume visualization framework that tightly couples dynamic projections with a high-dimensional transfer function design for interactive volume visualization. We assume that the complex, high-dimensional data in the attribute space can be well-represented through a collection of low-dimensional linear subspaces, and embed the data points in a variety of 2D views created as projections onto these subspaces. Through dynamic projections, we present animated transitions between different views to help the user navigate and explore the attribute space for effective transfer function design. Our framework not only provides a more intuitive understanding of the attribute space but also allows the design of the transfer function under multiple dynamic views, which is more flexible than being restricted to a single static view of the data. For large volumetric datasets, we maintain interactivity during the transfer function design via intelligent sampling and scalable clustering. As a result, using examples in combustion and climate simulations, we demonstrate how our framework can be used to visualize interesting structures in the volumetric space.

  2. Hierarchical multivariate covariance analysis of metabolic connectivity.

    Science.gov (United States)

    Carbonell, Felix; Charil, Arnaud; Zijdenbos, Alex P; Evans, Alan C; Bedell, Barry J

    2014-12-01

    Conventional brain connectivity analysis is typically based on the assessment of interregional correlations. Given that correlation coefficients are derived from both covariance and variance, group differences in covariance may be obscured by differences in the variance terms. To facilitate a comprehensive assessment of connectivity, we propose a unified statistical framework that interrogates the individual terms of the correlation coefficient. We have evaluated the utility of this method for metabolic connectivity analysis using [18F]2-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET) data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. As an illustrative example of the utility of this approach, we examined metabolic connectivity in angular gyrus and precuneus seed regions of mild cognitive impairment (MCI) subjects with low and high β-amyloid burdens. This new multivariate method allowed us to identify alterations in the metabolic connectome, which would not have been detected using classic seed-based correlation analysis. Ultimately, this novel approach should be extensible to brain network analysis and broadly applicable to other imaging modalities, such as functional magnetic resonance imaging (MRI).

  3. MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES.

    Science.gov (United States)

    Zhu, Hongtu; Li, Runze; Kong, Linglong

    2012-10-01

    Motivated by recent work studying massive imaging data in the neuroimaging literature, we propose multivariate varying coefficient models (MVCM) for modeling the relation between multiple functional responses and a set of covariates. We develop several statistical inference procedures for MVCM and systematically study their theoretical properties. We first establish the weak convergence of the local linear estimate of coefficient functions, as well as its asymptotic bias and variance, and then we derive asymptotic bias and mean integrated squared error of smoothed individual functions and their uniform convergence rate. We establish the uniform convergence rate of the estimated covariance function of the individual functions and its associated eigenvalue and eigenfunctions. We propose a global test for linear hypotheses of varying coefficient functions, and derive its asymptotic distribution under the null hypothesis. We also propose a simultaneous confidence band for each individual effect curve. We conduct Monte Carlo simulation to examine the finite-sample performance of the proposed procedures. We apply MVCM to investigate the development of white matter diffusivities along the genu tract of the corpus callosum in a clinical study of neurodevelopment.

  4. Multivariate models of adult Pacific salmon returns.

    Science.gov (United States)

    Burke, Brian J; Peterson, William T; Beckman, Brian R; Morgan, Cheryl; Daly, Elizabeth A; Litz, Marisa

    2013-01-01

    Most modeling and statistical approaches encourage simplicity, yet ecological processes are often complex, as they are influenced by numerous dynamic environmental and biological factors. Pacific salmon abundance has been highly variable over the last few decades and most forecasting models have proven inadequate, primarily because of a lack of understanding of the processes affecting variability in survival. Better methods and data for predicting the abundance of returning adults are therefore required to effectively manage the species. We combined 31 distinct indicators of the marine environment collected over an 11-year period into a multivariate analysis to summarize and predict adult spring Chinook salmon returns to the Columbia River in 2012. In addition to forecasts, this tool quantifies the strength of the relationship between various ecological indicators and salmon returns, allowing interpretation of ecosystem processes. The relative importance of indicators varied, but a few trends emerged. Adult returns of spring Chinook salmon were best described using indicators of bottom-up ecological processes such as composition and abundance of zooplankton and fish prey as well as measures of individual fish, such as growth and condition. Local indicators of temperature or coastal upwelling did not contribute as much as large-scale indicators of temperature variability, matching the spatial scale over which salmon spend the majority of their ocean residence. Results suggest that effective management of Pacific salmon requires multiple types of data and that no single indicator can represent the complex early-ocean ecology of salmon.

  5. Multivariate models of adult Pacific salmon returns.

    Directory of Open Access Journals (Sweden)

    Brian J Burke

    Full Text Available Most modeling and statistical approaches encourage simplicity, yet ecological processes are often complex, as they are influenced by numerous dynamic environmental and biological factors. Pacific salmon abundance has been highly variable over the last few decades and most forecasting models have proven inadequate, primarily because of a lack of understanding of the processes affecting variability in survival. Better methods and data for predicting the abundance of returning adults are therefore required to effectively manage the species. We combined 31 distinct indicators of the marine environment collected over an 11-year period into a multivariate analysis to summarize and predict adult spring Chinook salmon returns to the Columbia River in 2012. In addition to forecasts, this tool quantifies the strength of the relationship between various ecological indicators and salmon returns, allowing interpretation of ecosystem processes. The relative importance of indicators varied, but a few trends emerged. Adult returns of spring Chinook salmon were best described using indicators of bottom-up ecological processes such as composition and abundance of zooplankton and fish prey as well as measures of individual fish, such as growth and condition. Local indicators of temperature or coastal upwelling did not contribute as much as large-scale indicators of temperature variability, matching the spatial scale over which salmon spend the majority of their ocean residence. Results suggest that effective management of Pacific salmon requires multiple types of data and that no single indicator can represent the complex early-ocean ecology of salmon.

  6. Multivariate search for differentially expressed gene combinations

    Directory of Open Access Journals (Sweden)

    Klebanov Lev

    2004-10-01

    Full Text Available Abstract Background To identify differentially expressed genes, it is standard practice to test a two-sample hypothesis for each gene with a proper adjustment for multiple testing. Such tests are essentially univariate and disregard the multidimensional structure of microarray data. A more general two-sample hypothesis is formulated in terms of the joint distribution of any sub-vector of expression signals. Results By building on an earlier proposed multivariate test statistic, we propose a new algorithm for identifying differentially expressed gene combinations. The algorithm includes an improved random search procedure designed to generate candidate gene combinations of a given size. Cross-validation is used to provide replication stability of the search procedure. A permutation two-sample test is used for significance testing. We design a multiple testing procedure to control the family-wise error rate (FWER when selecting significant combinations of genes that result from a successive selection procedure. A target set of genes is composed of all significant combinations selected via random search. Conclusions A new algorithm has been developed to identify differentially expressed gene combinations. The performance of the proposed search-and-testing procedure has been evaluated by computer simulations and analysis of replicated Affymetrix gene array data on age-related changes in gene expression in the inner ear of CBA mice.

  7. Metaphors among titles of medical publications: an observational study

    Directory of Open Access Journals (Sweden)

    Philippa Mungra

    2007-10-01

    Full Text Available In this study, we attempted to determine the frequency and types of metaphors in a corpus of titles from a single medical journal collected over one year. The frequency of metaphor tokens (4.6% was highest among editorials and other opinion articles and consisted predominantly of primary metaphors, which require explanation using a visual, cultural or other physical vehicle. When the metaphor was used only in the title and not in the body of the text, as was common in letters to the editor or in editorials, the metaphor may constitute a para-textual device used for engaging the reader. Other metaphors among research article titles were present not only in the title, but also used repeatedly in the body of the text. Among these research articles, metaphors were frequently used to endow the focus words of the metaphor with a precise and meaningful significance which, when used repeatedly in the text, may constitute a mechanism by which sub-technical language or internal jargon may arise. Being syntactically simple but endowed with a high communicative import, titles as a text type may help improve academic literacy, among beginners.

  8. Multivariate Diophantine equations with many solutions

    NARCIS (Netherlands)

    Evertse, J.-H.; Moree, P.; Stewart, C.L.; Tijdeman, R.

    2002-01-01

    Among other things we show that for each n-tuple of positive rational numbers (a_1,..., a_n) there are sets of primes S of arbitrarily large cardinality s such that the solutions of the equation a_1x_1+..+a_nx_n=1 with x_1,..,x_n S-units are notcontained in fewer than exp((4+o(1)) s^{1/2} (log

  9. An extended multivariate framework for drought monitoring in Mexico

    Science.gov (United States)

    Real-Rangel, Roberto; Pedrozo-Acuña, Adrián; Breña-Naranjo, Agustín; Alcocer-Yamanaka, Víctor

    2017-04-01

    Around the world, monitoring natural hazards, such as droughts, represents a critical task in risk assessment and management plans. A reliable drought monitoring system allows to identify regions affected by these phenomena so that early response measures can be implemented. In Mexico, this activity is performed using Mexico's Drought Monitor, which is based on a similar methodology as the United States Drought Monitor and the North American Drought Monitor. The main feature of these monitoring systems is the combination of ground-based and remote sensing observations that is ultimately validated by local experts. However, in Mexico in situ records of variables such as precipitation and streamflow are often scarce, or even null, in many regions of the country. Another issue that adds uncertainty in drought monitoring is the arbitrary weight given to each analyzed variable. This study aims at providing an operational framework for drought monitoring in Mexico, based on univariate and multivariate nonparametric standardized indexes proposed in recent studies. Furthermore, the framework has been extended by taking into account the Enhanced Vegetation Index (EVI) for the drought severity assessment. The analyzed variables used for computing the drought indexes are mainly derived from remote sensing (MODIS) and land surface models datasets (NASA MERRA-2). A qualitative evaluation of the results shows that the indexes used are capable of adequately describes the intensity and spatial distribution of past drought documented events.

  10. Adjustment of geochemical background by robust multivariate statistics

    Science.gov (United States)

    Zhou, D.

    1985-01-01

    Conventional analyses of exploration geochemical data assume that the background is a constant or slowly changing value, equivalent to a plane or a smoothly curved surface. However, it is better to regard the geochemical background as a rugged surface, varying with changes in geology and environment. This rugged surface can be estimated from observed geological, geochemical and environmental properties by using multivariate statistics. A method of background adjustment was developed and applied to groundwater and stream sediment reconnaissance data collected from the Hot Springs Quadrangle, South Dakota, as part of the National Uranium Resource Evaluation (NURE) program. Source-rock lithology appears to be a dominant factor controlling the chemical composition of groundwater or stream sediments. The most efficacious adjustment procedure is to regress uranium concentration on selected geochemical and environmental variables for each lithologic unit, and then to delineate anomalies by a common threshold set as a multiple of the standard deviation of the combined residuals. Robust versions of regression and RQ-mode principal components analysis techniques were used rather than ordinary techniques to guard against distortion caused by outliers Anomalies delineated by this background adjustment procedure correspond with uranium prospects much better than do anomalies delineated by conventional procedures. The procedure should be applicable to geochemical exploration at different scales for other metals. ?? 1985.

  11. Multivariate analysis of identity of imported technical PCN formulation.

    Science.gov (United States)

    Falandysz, J; Chudzyński, K; Takekuma, M; Yamamoto, T; Noma, Y; Hanari, N; Yamashita, N

    2008-10-01

    Chloronaphthalenes form a class of compounds consisting of 8 CN homologue groups and altogether of 75 congeners, which used have been most extensively in 1930--1950. An investigation have been performed on the possible origin of unidentified by name technical chloronaphthalene formulation unlawfully imported recently from the United Kingdom to Japan. Principal component analysis (PCA) and Cluster Analysis of chloronaphthalene congener isomer-specific and homologue classes' compositional HRGC/HRMS data of imported CN formulation and of certain brands of technical CN formulation called Halowax (Halowax 1000, 1001 and 1031) enabled to identify that unnamed product is not Halowax 1001. A less accurate multivariate examination based on CN homologue classes patter did indicate on large similarity between unlawfully imported technical CN formulation and Halowax 1001 (manufactured by the Koppers Ind. Co., USA), while a more accurate based on CN congeners pattern differentiated them as to of various origin mixtures. Based on chlorine content of imported CN formulation (50-52%) and its no similarity to Halowax 1001 it seems reasonable to conclude that unnamed CN mixture examined could be a sample of stockpiled Seekay wax R93.

  12. Multivariate polynomial interpolation on Lissajous-Chebyshev nodes

    OpenAIRE

    Dencker, Peter; Erb, Wolfgang

    2015-01-01

    In this article, we study multivariate polynomial interpolation and quadrature rules on non-tensor product node sets related to Lissajous curves and Chebyshev varieties. After classifying multivariate Lissajous curves and the interpolation nodes linked to these curves, we derive a discrete orthogonality structure on these node sets. Using this orthogonality structure, we obtain unique polynomial interpolation in appropriately defined spaces of multivariate Chebyshev polynomials. Our results g...

  13. A globally convergent matricial algorithm for multivariate spectral estimation

    CERN Document Server

    Ramponi, Federico; Pavon, Michele

    2008-01-01

    In this paper, we first describe a matricial Newton-type algorithm designed to solve the multivariable spectrum approximation problem. We then prove its global convergence. Finally, we apply this approximation procedure to multivariate spectral estimation, and test its effectiveness through simulation. Simulation shows that, in the case of short observation records, this method may provide a valid alternative to standard multivariable identification techniques such as MATLAB's PEM and MATLAB's N4SID.

  14. Polarization of the Poor: Multivariate Relative Poverty Measurement Sans Frontiers

    OpenAIRE

    Gordon Anderson

    2009-01-01

    A major impediment to poverty evaluation in multivariate environments are the difficulties associated with formulating poverty frontiers. This paper proposes a new multivariate polarization measure which, in appropriate circumstances, works as a multivariate poverty measure which does not require computation of a poverty frontier. As a poverty measure it has the intuitive appeal of reflecting the degree to which societies poor and non-poor are polarized. (The measure would also have considera...

  15. Native title contestation in Western Australia's Pilbara region

    Directory of Open Access Journals (Sweden)

    Paul Cleary

    2014-12-01

    Full Text Available The rights afforded to Indigenous Australians under the Native Title Act 1993 (NTA are very limited and allow for undue coercion by corporate interests, contrary to the claims of many prominent authors in this field. Unlike the Commonwealth’s first land rights law, Aboriginal Lands Rights (Northern Territory Act 1976 (ALRA , the NTA does not offer a right of veto to Aboriginal parties; instead, they have a right to negotiate with developers, which has in practice meant very little leverage in negotiations for native title parties. And unlike ALRA, developers can deal with any Indigenous corporation, rather than land councils. These two factors have encouraged opportunistic conduct by some developers and led to vexatious litigation designed to break the resistance of native title parties, as demonstrated by the experience of Aboriginal corporations in the iron ore-rich Pilbara region of Western Australia.

  16. Multivariate statistical analysis of wildfires in Portugal

    Science.gov (United States)

    Costa, Ricardo; Caramelo, Liliana; Pereira, Mário

    2013-04-01

    Several studies demonstrate that wildfires in Portugal present high temporal and spatial variability as well as cluster behavior (Pereira et al., 2005, 2011). This study aims to contribute to the characterization of the fire regime in Portugal with the multivariate statistical analysis of the time series of number of fires and area burned in Portugal during the 1980 - 2009 period. The data used in the analysis is an extended version of the Rural Fire Portuguese Database (PRFD) (Pereira et al, 2011), provided by the National Forest Authority (Autoridade Florestal Nacional, AFN), the Portuguese Forest Service, which includes information for more than 500,000 fire records. There are many multiple advanced techniques for examining the relationships among multiple time series at the same time (e.g., canonical correlation analysis, principal components analysis, factor analysis, path analysis, multiple analyses of variance, clustering systems). This study compares and discusses the results obtained with these different techniques. Pereira, M.G., Trigo, R.M., DaCamara, C.C., Pereira, J.M.C., Leite, S.M., 2005: "Synoptic patterns associated with large summer forest fires in Portugal". Agricultural and Forest Meteorology. 129, 11-25. Pereira, M. G., Malamud, B. D., Trigo, R. M., and Alves, P. I.: The history and characteristics of the 1980-2005 Portuguese rural fire database, Nat. Hazards Earth Syst. Sci., 11, 3343-3358, doi:10.5194/nhess-11-3343-2011, 2011 This work is supported by European Union Funds (FEDER/COMPETE - Operational Competitiveness Programme) and by national funds (FCT - Portuguese Foundation for Science and Technology) under the project FCOMP-01-0124-FEDER-022692, the project FLAIR (PTDC/AAC-AMB/104702/2008) and the EU 7th Framework Program through FUME (contract number 243888).

  17. Ultramar Refining, Subsidiary of Valero Energy Corporation, Wilmington, California; Petition to Object to Title V Operating Permit

    Science.gov (United States)

    This document may be of assistance in applying the Title V air operating permit regulations. This document is part of the Title V Petition Database available at www2.epa.gov/title-v-operating-permits/title-v-petition-database.

  18. Ultramar Refining, Subsidiary of Valero Energy Corporation, Wilmington, California; Dec. 12, 2008, Petition to Object to Title V Operating Permit

    Science.gov (United States)

    This document may be of assistance in applying the Title V air operating permit regulations. This document is part of the Title V Petition Database available at www2.epa.gov/title-v-operating-permits/title-v-petition-database.

  19. Multivariate Bonferroni-type inequalities theory and applications

    CERN Document Server

    Chen, John

    2014-01-01

    Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities and demands new insights into linear and Fréchet optimality. The book explores these advances in bounding techniques with corresponding innovative applications. It presents the method of linear programming for multivariate bounds, multivariate hybrid bounds, sub-Markovian bounds, and bounds using Hamil

  20. A New Model of Peaks over Threshold for Multivariate Extremes

    Institute of Scientific and Technical Information of China (English)

    罗耀; 朱良生

    2014-01-01

    The peaks over threshold (POT) methods are used for the univariate and multivariate extreme value analyses of the wave and wind records collected from a hydrometric station in the South China Sea. A new multivariate POT method:Multivariate GPD (MGPD) model is proposed, which can be built easily according to developed parametric models and is a natural distribution of multivariate POT methods. A joint threshold selection approach is used in the MGPD model well. Finally, sensitivity analyses are carried out to calculate the return values of the base shear, and two declustering schemes are compared in this study.

  1. On Movie Title Translation from the Perspective of Reception Aesthetics

    Institute of Scientific and Technical Information of China (English)

    张琼

    2014-01-01

    Movie is a popular art which occupies an important position in people’s leisure time. Movie title, as the most direct and accessible tool for audience to know about the movie, is very significant to attract audience into the cinema. Therefore, the translation of movie title cannot be ignored. However, due to the cultural differences in Chinese and English culture, the problem of movie title translation is obvious which needs to be paid attention to the translation and people working in movie industry. Traditional translation theory puts more emphasis on the important and authoritative status of original text and author. But this notion cannot satisfy the needs of movie title translation to the largest extent. Movie is not only a cultural and linguistic product, it also is a special commercial product. The ultimate objective of movie is to allure the audience into the cinema to watch and ap-preciate it in addition to provide the cultural information. Reception aesthetics, as a theory of literary criticism, gives priority to readers’role in literary understanding and interpretation. According to reception aesthetics, the horizon of expectation should be taken into consideration when the translation work begins to be done. Horizon of expectation is composed of the readers’or au-diences’ previous cultural norms, assumptions, and criteria in the source language and culture at a given time. Movie title, as a special text, is also understood and influenced by the audience’s horizon of expectation. Chinese audience, before they decide to watch a movie, are naturally harbor their horizon of expectation about the movie. They will form their judgment and assumptions about the genre, plot, story, background about the movie from the movie title. These kind of horizon of expectation will conse-quently influence their ultimate decision to watch the movie or not. Hence, in doing the movie title translation, the translator is supposed to keep the audience’s horizon of

  2. The trend toward more attractive and informative titles: American Psychologist 1946-2010.

    Science.gov (United States)

    Whissell, Cynthia

    2012-04-01

    Titles of journal articles serve to attract attention and inform potential readers. All titles from 65 volumes of American Psychologist (1946-2010, N = 12,313 titles) were studied in terms of their emotionality, style, and contents. Several trends noted for titles in different kinds of journals from psychology and other disciplines were present in American Psychologist (increasing title length, increasing use of punctuation marks, increasing employment of words with pleasant and arousing connotations, variations in the frequency of different content words). Longer titles allow authors to specify more information, and emotionally upbeat titles are more likely to attract reader attention. In an unexpected quadratic trend, titles became more abstract and the number of titles increased until about 1985, after which the trend was reversed and titles became more concrete as their numbers decreased. Predictors of this trend include societal variables and the journal's editorial policies.

  3. Multivariate distributions of soil hydraulic parameters

    Science.gov (United States)

    Qu, Wei; Pachepsky, Yakov; Huisman, Johan Alexander; Martinez, Gonzalo; Bogena, Heye; Vereecken, Harry

    2014-05-01

    on pedotransfer relationships not only within a given textural class but also on pedotransfer relationships within other textural classes since the pedotransfer relationships are developed across the database containing data for several textural classes. Therefore, joint multivariate parameter distributions for a specific class may not be sufficiently accurate. Currently PTF may give the best prediction of the parameter itself, but they are not designed to estimate correlations between parameters. Covariance matrices for soil hydraulic parameters present an additional type of pedotransfer information that needs to be acquired and used whenever random sets of those parameters are to be generated.

  4. A Proposed Method for Eliminating Titles from Periodical Subscription Lists.

    Science.gov (United States)

    Broadus, Robert N.

    1985-01-01

    Discusses general findings reported in the literature of use and citation studies on the use of citation counts as found in "Journal Citation Reports" for identification of periodical titles for cancellation in a university library. Principal reasons for retention of little-cited journals are noted. Twenty-one references are cited. (EJS)

  5. Talking Typewriter. Title I Evaluation, 1972-1973.

    Science.gov (United States)

    Logan, Juanita

    The Talking Typewriter Program has been operative in the Cleveland Public Schools as a strategy to improve the reading skills of identified fourth grade pupils in 12 Title I schools. A responsive and autotelic environment augmented by selected materials, special teaching techniques, the expertise of trained staff, and individualized tutoring…

  6. Intercultural Awareness in Rural Title 1 Elementary School Teaching Practices

    Science.gov (United States)

    Leventhal, Mary Wilson

    2012-01-01

    The purpose of the study was to examine cultural dissonance between teachers and students with its implications for student achievement in a rural Title 1 elementary school. Most U.S. teachers share a White, monolingual, middle-class, female teaching culture that is a mismatch with their increasingly multicultural student population. That problem…

  7. Leadership Styles of Principals in Successful Title I Elementary Schools

    Science.gov (United States)

    Gonzales, Cameron

    2016-01-01

    The problem addressed in the dissertation is the relationship between high poverty and low academic achievement that persists in spite of efforts to change it. In one Western state, a small proportion of the schools that are eligible for Title I funds, a measure of poverty, have achieved recognition for high student achievement. The recognition,…

  8. A Comprehensive Child Development Program; Title XX, Final Report.

    Science.gov (United States)

    Whatley, Juanita T.

    This booklet describes the Comprehensive Child Day Care Program for the Atlanta Public School System, a Title XX Program. This program provided day care services for children of clients in various categories. The program goals for 1975-76 were geared toward providing comprehensive day care to encompass social services to the family and…

  9. 40 CFR 35.6330 - Title to federally owned property.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 1 2010-07-01 2010-07-01 false Title to federally owned property. 35.6330 Section 35.6330 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY GRANTS AND OTHER FEDERAL ASSISTANCE STATE AND LOCAL ASSISTANCE Cooperative Agreements and Superfund State Contracts for Superfund Response Actions Personal...

  10. A Model Program for Statewide Title IX Capacity Building.

    Science.gov (United States)

    Berard, Barbara K.; Huppertz, Nancy

    This manual is intended to increase awareness of Title IX and related equity issues at the local school district level by providing materials and resources to specialists in school districts. The manual: (1) describes a model traveling equity resource display; and (2) provides instructions, agendas, and participant materials for a two-day training…

  11. Secondary Athletic Administrators' Perceptions of Title IX Policy Changes

    Science.gov (United States)

    Dahl, Gabriel Grawe

    2012-01-01

    The purpose of this study was to investigate North Dakota's Normal Competitive Region (NDNCR) high school athletic administrators' perceptions of 2010 Title IX policy changes respective to their athletic programs. Quantitative and qualitative data were collected to investigate the perceptions. Quantitatively, perception data were gathered from a…

  12. 44 CFR 208.46 - Title to equipment.

    Science.gov (United States)

    2010-10-01

    ... HOMELAND SECURITY DISASTER ASSISTANCE NATIONAL URBAN SEARCH AND RESCUE RESPONSE SYSTEM Response Cooperative... provided under a DHS Response Cooperative Agreement vests in the Sponsoring Agency, provided that DHS reserves the right to transfer title to the Federal Government or a third party that DHS may name, under...

  13. Editor's Shelf: International Juvenile Titles and Publisher Directory.

    Science.gov (United States)

    Mitchell-Powell, Brenda, Ed.

    1993-01-01

    Showcases international juvenile titles that present international perspectives for educators, librarians, and parents seeking materials with alternative cultural content and context. The 21 books listed are renditions of folktales and traditional stories. A directory of publishers and distributors is included. (SLD)

  14. Retrieval Efficiency from Titles and the Cost of Indexing

    Science.gov (United States)

    Tell, Bjorn V.

    1971-01-01

    Three experiments were made by a flexible machine search system to test the retrieval efficiency of searching free text and keywords. Results based upon relevance judgements of users indicate that titles and abstracts are good index material which can be used for machine searching without human indexing. (Author/SJ)

  15. CSU Standard for the CLSI Expanded Title Record.

    Science.gov (United States)

    Anderson, Karen; And Others

    The revised system specifications described in this document were adopted by the 19 California State University and College (CSUC) libraries for a second test version of the CLSI "Expanded Title Record" public access online catalog at California State University at Chico. Should this pilot demonstration of the data format prove…

  16. CSUC Standard for the CLSI Expanded Title Record.

    Science.gov (United States)

    Case, Barbara; And Others

    The system specifications described have been adopted by the 19 California State University and Colleges Libraries for use with the CL Systems "Expanded Title Record" format. It is anticipated that these specifications will be tested at California State University, Chico, beginning midyear 1981. Should this pilot demonstration prove…

  17. On the Title of Moriarty's 'Dynamics of an Asteroid'

    CERN Document Server

    Jenkins, Alejandro

    2013-01-01

    We propose an explanation of the title of Prof. James Moriarty's treatise_Dynamics of an Asteroid_, a scientific work mentioned by Sherlock Holmes in_The Valley of Fear_ and prominently featured in Guy Ritchie's 2011 film_Sherlock Holmes: A Game of Shadows_. Our views on the subject differ from those expressed in Isaac Asimov's "The Ultimate Crime".

  18. Journal Coverage by the Major Chemical Title and Abstract Publications

    Science.gov (United States)

    Kiehlmann, Eberhard

    1972-01-01

    The journal coverage provided by Chemical Titles,'' Current Contents,'' Science Citation Index,'' Chemischer Informationsdienst,'' and Index Chemicus'' is discussed and compared with the CASSI list of the thousand primary journals most frequently cited by Chemical Abstracts.'' (10 references) (Author/NH)

  19. Executive Summaries of 1981-82 Program Evaluations: RISE, Title I, Title VI Magnet Schools, Title VI Follow-the-Child, Title VI Basic Grant, North Division School Effectiveness.

    Science.gov (United States)

    Peterson, Gary D., Comp.

    The Milwaukee Public Schools present executive summaries of 1981-82 evaluations for six programs including: (1) Project RISE designed to improve the quality of education in 18 of the lowest achieving schools in the district; (2) the Title I program focused at the elementary level with concentration on the improvement of readiness, reading, and…

  20. SSFA President Sia Yong Receives Title of Friendship Ambassador

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    A ceremony was held on May 19 by the CPAFFC to confer upon Sia Yong, presi-dent of the Singa Sino Friendship Association(SSFA), the title of Friendship Ambassador in recognition of the contributions he has made to strengthening and developing the relations of

  1. CSUC Standard for the CLSI Expanded Title Record.

    Science.gov (United States)

    Case, Barbara; And Others

    The system specifications described have been adopted by the 19 California State University and Colleges Libraries for use with the CL Systems "Expanded Title Record" format. It is anticipated that these specifications will be tested at California State University, Chico, beginning midyear 1981. Should this pilot demonstration prove…

  2. CSU Standard for the CLSI Expanded Title Record.

    Science.gov (United States)

    Anderson, Karen; And Others

    The revised system specifications described in this document were adopted by the 19 California State University and College (CSUC) libraries for a second test version of the CLSI "Expanded Title Record" public access online catalog at California State University at Chico. Should this pilot demonstration of the data format prove…

  3. Gender Equity in Intercollegiate Athletics: Determinants of Title IX Compliance

    Science.gov (United States)

    Anderson, Deborah J.; Cheslock, John Jesse; Ehrenberg, Ronald G.

    2006-01-01

    Using new data on intercollegiate athletes, this article shows that recent improvement in Title IX compliance among NCAA Division I institutions was previously overestimated, and provides the first estimates of compliance in Divisions II and III. In addition, regression analyses investigate how institutional characteristics relate to the extent of…

  4. LJ Best of 2009 Business Books: 32 Titles

    Science.gov (United States)

    Cords, Sarah Statz

    2010-01-01

    It should come as no surprise that a large share of this year's business books focus squarely on the 2008-09 financial crisis and security-backed mortgage implosion. Investing books followed the trend as either alarmist titles advocating selling stocks, or books urging readers to take advantage of this time to buy undervalued investments. An…

  5. Subjective Criteria in Employment Decisions Under Title VII

    Science.gov (United States)

    Stacy, Donald R.

    1976-01-01

    Since higher echelon jobs have been drawn into litigation under Title VII, subjective criteria have been employed. The legal ramifications of assessing noncognitive traits such as leadership, aggressiveness, and attitude are discussed. Available from: the University of Georgia School of Law, Athens, Georgia 30602. (LBH)

  6. 38 CFR 36.4253 - Title and lien requirements.

    Science.gov (United States)

    2010-07-01

    ..., Loan Guaranty Service, (i) that such type of leasehold is customary in the area where the property is...) Encroachments; (2) Easements; (3) Servitudes; (4) Reservations for water, timber, or subsurface rights; (5) Right in any grantor or cotenant in the chain of title, or a successor of either, to purchase for cash...

  7. Asymptotic Formulae for Multivariate Kantorovich Type Generalized Sampling Series

    Institute of Scientific and Technical Information of China (English)

    Carlo BARDARO; Ilaria MANTELLINI

    2011-01-01

    In this paper an asymptotic formula of Voronovskaja type for a multivariate extension of the Kantorovich generalized sampling series is given.Moreover a quantitative version in terms of some moduli of smoothness is established.Finally some particular examples of kernels are discussed,as the Bochner-Riesz kernel and the multivariate splines.

  8. Small Sample Properties of Bayesian Multivariate Autoregressive Time Series Models

    Science.gov (United States)

    Price, Larry R.

    2012-01-01

    The aim of this study was to compare the small sample (N = 1, 3, 5, 10, 15) performance of a Bayesian multivariate vector autoregressive (BVAR-SEM) time series model relative to frequentist power and parameter estimation bias. A multivariate autoregressive model was developed based on correlated autoregressive time series vectors of varying…

  9. Noise in multivariate GPS position time-series

    NARCIS (Netherlands)

    Amiri-Simkooei, A.R.

    2008-01-01

    A methodology is developed to analyze a multivariate linear model, which occurs in many geodetic and geophysical applications. Proper analysis of multivariate GPS coordinate time-series is considered to be an application. General, special, and more practical stochastic models are adopted to assess t

  10. Relationship between Multiple Regression and Selected Multivariable Methods.

    Science.gov (United States)

    Schumacker, Randall E.

    The relationship of multiple linear regression to various multivariate statistical techniques is discussed. The importance of the standardized partial regression coefficient (beta weight) in multiple linear regression as it is applied in path, factor, LISREL, and discriminant analyses is emphasized. The multivariate methods discussed in this paper…

  11. Introduction to multivariate analysis linear and nonlinear modeling

    CERN Document Server

    Konishi, Sadanori

    2014-01-01

    ""The presentation is always clear and several examples and figures facilitate an easy understanding of all the techniques. The book can be used as a textbook in advanced undergraduate courses in multivariate analysis, and can represent a valuable reference manual for biologists and engineers working with multivariate datasets.""-Fabio Rapallo, Zentralblatt MATH 1296

  12. Noise in multivariate GPS position time-series

    NARCIS (Netherlands)

    Amiri-Simkooei, A.R.

    2008-01-01

    A methodology is developed to analyze a multivariate linear model, which occurs in many geodetic and geophysical applications. Proper analysis of multivariate GPS coordinate time-series is considered to be an application. General, special, and more practical stochastic models are adopted to assess t

  13. Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

    CERN Document Server

    Izenman, Alan Julian

    2006-01-01

    Describes the advances in computation and data storage that led to the introduction of many statistical tools for high-dimensional data analysis. Focusing on multivariate analysis, this book discusses nonlinear methods as well as linear methods. It presents an integrated mixture of classical and modern multivariate statistical techniques.

  14. Analysis of multivariate extreme intakes of food chemicals

    NARCIS (Netherlands)

    Paulo, M.J.; Voet, van der H.; Wood, J.C.; Marion, G.R.; Klaveren, van J.D.

    2006-01-01

    A recently published multivariate Extreme Value Theory (EVT) model [Heffernan, J.E., Tawn, J.A., 2004. A conditional approach for multivariate extreme values (with discussion). Journal of the Royal Statistical Society Series B 66 (3), 497¿546] is applied to the estimation of population risks associa

  15. Causal diagrams and multivariate analysis II: precision work.

    Science.gov (United States)

    Jupiter, Daniel C

    2014-01-01

    In this Investigators' Corner, I continue my discussion of when and why we researchers should include variables in multivariate regression. My examination focuses on studies comparing treatment groups and situations for which we can either exclude variables from multivariate analyses or include them for reasons of precision. Copyright © 2014 American College of Foot and Ankle Surgeons. Published by Elsevier Inc. All rights reserved.

  16. Exploratory Tobit factor analysis for multivariate censored data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2001-01-01

    We propose Multivariate Tobit models with a factor structure on the covariance matrix. Such models are particularly useful in the exploratory analysis of multivariate censored data and the identification of latent variables from behavioral data. The factor structure provides a parsimonious

  17. Robust Multivariate Control Charts to Detect Small Shifts in Mean

    Directory of Open Access Journals (Sweden)

    Habshah Midi

    2011-01-01

    Full Text Available The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In this paper, we propose a robust multivariate CUSUM and Robust multivariate EWMA charts to remedy the problem of small changed in scatter outliers. Both the empirical and simulation results indicate that the proposed robust multivariate CUSUM and EWMA charts offer substantial improvement over other multivariate CUSUM and EWMA charts. This article also discussed the robustness of the proposed charts, when there is a small or moderate sustained shift in the data set.

  18. Fractional and multivariable calculus model building and optimization problems

    CERN Document Server

    Mathai, A M

    2017-01-01

    This textbook presents a rigorous approach to multivariable calculus in the context of model building and optimization problems. This comprehensive overview is based on lectures given at five SERC Schools from 2008 to 2012 and covers a broad range of topics that will enable readers to understand and create deterministic and nondeterministic models. Researchers, advanced undergraduate, and graduate students in mathematics, statistics, physics, engineering, and biological sciences will find this book to be a valuable resource for finding appropriate models to describe real-life situations. The first chapter begins with an introduction to fractional calculus moving on to discuss fractional integrals, fractional derivatives, fractional differential equations and their solutions. Multivariable calculus is covered in the second chapter and introduces the fundamentals of multivariable calculus (multivariable functions, limits and continuity, differentiability, directional derivatives and expansions of multivariable ...

  19. Trauma-Informed Response in the Age of Title IX: Considerations for College Counselors Working with Survivors of Power-Based Personal Violence

    Science.gov (United States)

    Conley, Abigail H.; Griffith, Catherine

    2016-01-01

    Intimate partner violence, sexual violence, and stalking are pervasive in the United States, and college women are disproportionately affected by this power-based personal violence (PBPV). Title IX mandates that colleges and universities offer support services to trauma survivors, and college counselors should be prepared to meet this need.…

  20. Trauma-Informed Response in the Age of Title IX: Considerations for College Counselors Working with Survivors of Power-Based Personal Violence

    Science.gov (United States)

    Conley, Abigail H.; Griffith, Catherine

    2016-01-01

    Intimate partner violence, sexual violence, and stalking are pervasive in the United States, and college women are disproportionately affected by this power-based personal violence (PBPV). Title IX mandates that colleges and universities offer support services to trauma survivors, and college counselors should be prepared to meet this need.…

  1. Multivariable identification of a atmospheric reboiler furnace; Identificacao multivariavel de um forno refervedor atmosferico

    Energy Technology Data Exchange (ETDEWEB)

    Manolio, Alex Almeida [Universidade Federal de Itajuba (UNIFEI), MG (Brazil)

    2004-07-01

    The study object is an reboiler oven located in an unit of atmospheric distillation of REVAP, tends as purpose to obtain the dynamic model of that through techniques of identification of systems. The oven is composed by the inputs variables, thermal load (manipulated), flow of input of the load (manipulated) and temperature of input of the load (disturbance) and for the output variables, temperature of radiation top (controlled) and temperature of output of the load (controlled), what composes a system multivariable of 3 inputs and 2 outputs. The acquired data for identification are 20160 points of measurements of the variables of the reboiler oven, coming of a system supervisors. The structure of the model used in the identification is the ARX multivariable. All the data and simulation are presented in graphic form and the representation of the models in equations to the difference and function of discreet transfer. (author)

  2. Multivariable disturbance observer-based H2 analytical decoupling control design for multivariable systems

    Science.gov (United States)

    Zhang, Wei; Wang, Yagang; Liu, Yurong; Zhang, Weidong

    2016-01-01

    In this paper, an H2 analytical decoupling control scheme with multivariable disturbance observer for both stable and unstable multi-input/multi-output (MIMO) systems with multiple time delays is proposed. Compared with conventional control strategies, the main merit is that the proposed control scheme can improve the system performances effectively when the MIMO processes with severe model mismatches and strong external disturbances. Besides, the design method has three additional advantages. First, the derived controller and observer are given in analytical forms, the design procedure is simple. Second, the orders of the designed controller and observer are low, they can be implemented easily in practice. Finally, the performance and robustness can be adjusted easily by tuning the parameters in the designed controller and observer. It is useful for practical application. Simulations are provided to illustrate the effectiveness of the proposed control scheme.

  3. Multivariate Self-Dual Morphological Operators Based on Extremum Constraint

    Directory of Open Access Journals (Sweden)

    Tao Lei

    2015-01-01

    Full Text Available Self-dual morphological operators (SDMO do not rely on whether one starts the sequence with erosion or dilation; they treat the image foreground and background identically. However, it is difficult to extend SDMO to multichannel images. Based on the self-duality property of traditional morphological operators and the theory of extremum constraint, this paper gives a complete characterization for the construction of multivariate SDMO. We introduce a pair of symmetric vector orderings (SVO to construct multivariate dual morphological operators. Furthermore, utilizing extremum constraint to optimize multivariate morphological operators, we construct multivariate SDMO. Finally, we illustrate the importance and effectiveness of the multivariate SDMO by applications of noise removal and segmentation performance. The experimental results show that the proposed multivariate SDMO achieves better results, and they suppress noises more efficiently without losing image details compared with other filtering methods. Moreover, the proposed multivariate SDMO is also shown to have the best segmentation performance after the filtered images via watershed transformation.

  4. Multivariate Local Polynomial Regression with Application to Shenzhen Component Index

    Directory of Open Access Journals (Sweden)

    Liyun Su

    2011-01-01

    Full Text Available This study attempts to characterize and predict stock index series in Shenzhen stock market using the concepts of multivariate local polynomial regression. Based on nonlinearity and chaos of the stock index time series, multivariate local polynomial prediction methods and univariate local polynomial prediction method, all of which use the concept of phase space reconstruction according to Takens' Theorem, are considered. To fit the stock index series, the single series changes into bivariate series. To evaluate the results, the multivariate predictor for bivariate time series based on multivariate local polynomial model is compared with univariate predictor with the same Shenzhen stock index data. The numerical results obtained by Shenzhen component index show that the prediction mean squared error of the multivariate predictor is much smaller than the univariate one and is much better than the existed three methods. Even if the last half of the training data are used in the multivariate predictor, the prediction mean squared error is smaller than the univariate predictor. Multivariate local polynomial prediction model for nonsingle time series is a useful tool for stock market price prediction.

  5. Detecting outliers in multivariate data while controlling false alarm rate

    Directory of Open Access Journals (Sweden)

    André Achim

    2012-06-01

    Full Text Available Outlier identification often implies inspecting each z-transformed variable and adding a Mahalanobis D^2. Multiple outliers may mask each other by increasing variance estimates. Caroni and Prescott (1992 proposed a multivariate extension of Rosner’s (1983 technique to circumvent masking, taking sample size into account to keep the false alarm risk below, say, alpha = .05. Simulations studies here compare the single multivariate approach to "multiple-univariate plus multivariate" tests, each at a Bonferroni corrected alpha level, in terms of power at detecting outliers. Results suggest the former is better only up to about 12 variables. Macros in an Excel spreadsheet implement these techniques.

  6. Multivariable synthesis with transfer functions. [applications to gas turbine engines

    Science.gov (United States)

    Peczkowski, J. L.

    1980-01-01

    A transfer function design theory for multivariable control synthesis is highlighted. The use of unique transfer function matrices and two simple, basic relationships - a synthesis equation and a design equation - are presented and illustrated. This multivariable transfer function approach provides the designer with a capability to specify directly desired dynamic relationships between command variables and controlled or response variables. At the same time, insight and influence over response, simplifications, and internal stability is afforded by the method. A general, comprehensive multivariable synthesis capability is indicated including nonminmum phase and unstable plants. Gas turbine engine examples are used to illustrate the ideas and method.

  7. The toolkit for multivariate data analysis TMVA 4

    CERN Document Server

    Speckmayer, P; Stelzer, J; Voss, H

    2010-01-01

    The toolkit for multivariate analysis, TMVA, provides a large set of advanced multivariate analysis techniques for signal/background classification. In addition, TMVA now also contains regression analysis, all embedded in a framework capable of handling the preprocessing of the data and the evaluation of the output, thus allowing a simple and convenient use of multivariate techniques. The analysis techniques implemented in TMVA can be invoked easily and the direct comparison of their performance allows the user to choose the most appropriate for a particular data analysis. This article gives an overview of the TMVA package and presents recently developed features.

  8. SSFA President Sia Yong Receives Title of Friendship Ambassador

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    <正>A ceremony was held on May 19 by the CPAFFC to confer upon Sia Yong, president of the Singa Sino Friendship Association (SSFA), the title of Friendship Ambassador in recognition of the contributions he has made to strengthening and developing the relations of friendship and cooperation between China and Singapore. CPAFFC President Chen Haosu, Vice President Li Xiaolin were present at the ceremony. President Chen presented the certificate and medal of Friendship Ambassador to Sia Yong.

  9. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies

    Directory of Open Access Journals (Sweden)

    Qiong Yang

    2012-01-01

    Full Text Available Multivariate phenotypes are frequently encountered in genetic association studies. The purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic variants of pleiotropy effects, that is, affecting multiple phenotypes, and the ultimate goal of uncovering the underlying genetic mechanism. In recent years, there have been new method development and application of existing statistical methods to such phenotypes. In this paper, we provide a review of the available methods for analyzing association between a single marker and a multivariate phenotype consisting of the same type of components (e.g., all continuous or all categorical or different types of components (e.g., some are continuous and others are categorical. We also reviewed causal inference methods designed to test whether the detected association with the multivariate phenotype is truly pleiotropy or the genetic marker exerts its effects on some phenotypes through affecting the others.

  10. Ultrawide Bandwidth Receiver Based on a Multivariate Generalized Gaussian Distribution

    KAUST Repository

    Ahmed, Qasim Zeeshan

    2015-04-01

    Multivariate generalized Gaussian density (MGGD) is used to approximate the multiple access interference (MAI) and additive white Gaussian noise in pulse-based ultrawide bandwidth (UWB) system. The MGGD probability density function (pdf) is shown to be a better approximation of a UWB system as compared to multivariate Gaussian, multivariate Laplacian and multivariate Gaussian-Laplacian mixture (GLM). The similarity between the simulated and the approximated pdf is measured with the help of modified Kullback-Leibler distance (KLD). It is also shown that MGGD has the smallest KLD as compared to Gaussian, Laplacian and GLM densities. A receiver based on the principles of minimum bit error rate is designed for the MGGD pdf. As the requirement is stringent, the adaptive implementation of the receiver is also carried out in this paper. Training sequence of the desired user is the only requirement when implementing the detector adaptively. © 2002-2012 IEEE.

  11. Fast and Flexible Multivariate Time Series Subsequence Search

    Data.gov (United States)

    National Aeronautics and Space Administration — Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical...

  12. Extending a scatterplot for displaying group structure in multivariate ...

    African Journals Online (AJOL)

    covariance matrices. ... In risk management, for example, a financial institution ... biplot is related to a multivariate analysis of variance (MANOVA) performed for ..... plants by using biplots, American Institute for Chemical Engineering Journal, ...

  13. Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes

    NARCIS (Netherlands)

    M. Asai (Manabu); M.J. McAleer (Michael)

    2016-01-01

    textabstractThe paper considers various extended asymmetric multivariate conditional volatility models, and derives appropriate regularity conditions and associated asymptotic theory. This enables checking of internal consistency and allows valid statistical inferences to be drawn based on empirical

  14. Multivariate Time Series Analysis for Optimum Production Forecast ...

    African Journals Online (AJOL)

    FIRST LADY

    Keywords: production model, inventory management, multivariate time series ... regard when companies over stock raw materials inventory as a result of .... Error Analysis for Forecasts of 2008-2014 to Establish Model out of. Control.

  15. multivariate approach to the study of aquatic species diversity of ...

    African Journals Online (AJOL)

    User

    2016-12-02

    Dec 2, 2016 ... Generalized Linear Model further revealed the pattern in ... Hierarchical framework at multiple spatial levels can ... Limitations of most multivariate applications included the absence of ... HANNA Instruction Manual. Five days ...

  16. Input saturation in nonlinear multivariable processes resolved by nonlinear decoupling

    Directory of Open Access Journals (Sweden)

    Jens G. Balchen

    1995-04-01

    Full Text Available A new method is presented for the resolution of the problem of input saturation in nonlinear multivariable process control by means of elementary nonlinear decoupling (END. Input saturation can have serious consequences particularly in multivariable control because it may lead to very undesirable system behaviour and quite often system instability. Many authors have searched for systematic techniques for designing multivariable control systems in which saturation may occur in any of the control variables (inputs, manipulated variables. No generally accepted method seems to have been presented so far which gives a solution in closed form. The method of elementary nonlinear decoupling (END can be applied directly to the case of saturation control variables by deriving as many control strategies as there are combinations of saturating control variables. The method is demonstrated by the multivariable control of a simulated Fluidized Catalytic Cracker (FCC with very convincing results.

  17. Irregular sampling for multivariate band-limited functions

    Institute of Scientific and Technical Information of China (English)

    SUN; Wenchang(孙文昌); ZHOU; Xingwei(周性伟)

    2002-01-01

    In this paper, we present some new algorithms to reconstruct multivariate band-limited functionsfrom irregular sampled values, which allow more arbitrary sampling points and lower sampling densities thanknown results.

  18. A Newton Algorithm for Multivariate Total Least Squares Problems

    Directory of Open Access Journals (Sweden)

    WANG Leyang

    2016-04-01

    Full Text Available In order to improve calculation efficiency of parameter estimation, an algorithm for multivariate weighted total least squares adjustment based on Newton method is derived. The relationship between the solution of this algorithm and that of multivariate weighted total least squares adjustment based on Lagrange multipliers method is analyzed. According to propagation of cofactor, 16 computational formulae of cofactor matrices of multivariate total least squares adjustment are also listed. The new algorithm could solve adjustment problems containing correlation between observation matrix and coefficient matrix. And it can also deal with their stochastic elements and deterministic elements with only one cofactor matrix. The results illustrate that the Newton algorithm for multivariate total least squares problems could be practiced and have higher convergence rate.

  19. Matrix-based introduction to multivariate data analysis

    CERN Document Server

    Adachi, Kohei

    2016-01-01

    This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on ...

  20. Multivariate analysis of 2-DE protein patterns - Practical approaches

    DEFF Research Database (Denmark)

    Jacobsen, Charlotte; Jacobsen, Susanne; Grove, H.

    2007-01-01

    Practical approaches to the use of multivariate data analysis of 2-DE protein patterns are demonstrated by three independent strategies for the image analysis and the multivariate analysis on the same set of 2-DE data. Four wheat varieties were selected on the basis of their baking quality. Two...... of the varieties were of strong baking quality and hard wheat kernel and two were of weak baking quality and soft kernel. Gliadins at different stages of grain development were analyzed by the application of multivariate data analysis on images of 2-DEs. Patterns related to the wheat varieties, harvest times...... and quality were detected on images of 2-DE protein patterns for all the three strategies. The use of the multivariate methods was evaluated in the alignment and matching procedures of 2-DE gels. All the three strategies were able to discriminate the samples according to quality, harvest time and variety...

  1. An Efficient Local Algorithm for Distributed Multivariate Regression

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed...

  2. A Scalable Local Algorithm for Distributed Multivariate Regression

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm can be used for distributed...

  3. Multivariate Term Structure Models with Level and Heteroskedasticity Effects

    DEFF Research Database (Denmark)

    Christiansen, Charlotte

    2005-01-01

    The paper introduces and estimates a multivariate level-GARCH model for the long rate and the term-structure spread where the conditional volatility is proportional to the ãth power of the variable itself (level effects) and the conditional covariance matrix evolves according to a multivariate GA...... and the level model. GARCH effects are more important than level effects. The results are robust to the maturity of the interest rates. Udgivelsesdato: MAY...

  4. Multivariate saddlepoint approximations in tail probability and conditional inference

    CERN Document Server

    Kolassa, John; 10.3150/09-BEJ237

    2010-01-01

    We extend known saddlepoint tail probability approximations to multivariate cases, including multivariate conditional cases. Our approximation applies to both continuous and lattice variables, and requires the existence of a cumulant generating function. The method is applied to some examples, including a real data set from a case-control study of endometrial cancer. The method contains less terms and is easier to implement than existing methods, while showing an accuracy comparable to those methods.

  5. A note on inconsistent families of discrete multivariate distributions

    KAUST Repository

    Ghosh, Sugata

    2017-07-05

    We construct a d-dimensional discrete multivariate distribution for which any proper subset of its components belongs to a specific family of distributions. However, the joint d-dimensional distribution fails to belong to that family and in other words, it is ‘inconsistent’ with the distribution of these subsets. We also address preservation of this ‘inconsistency’ property for the symmetric Binomial distribution, and some discrete distributions arising from the multivariate discrete normal distribution.

  6. Testing for Causality in Variance Usinf Multivariate GARCH Models

    OpenAIRE

    Christian M. Hafner; Herwartz, Helmut

    2008-01-01

    Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently, little is known about their power properties. In this paper we show that a convenient alternative to residual based testing is to specify a multivariate volatility model, such as multivariate GARCH (or BEKK), and construct a Wald test on noncausality in variance. We compare both approaches to testing causality in var...

  7. Testing for causality in variance using multivariate GARCH models

    OpenAIRE

    Hafner, Christian; Herwartz, H.

    2004-01-01

    textabstractTests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based testing is to specify a multivariate volatility model, such as multivariate GARCH (or BEKK), and construct a Wald test on noncausality in variance. We compare both approaches to testing causa...

  8. Outliers detection in multivariate time series by independent component analysis.

    Science.gov (United States)

    Baragona, Roberto; Battaglia, Francesco

    2007-07-01

    In multivariate time series, outlying data may be often observed that do not fit the common pattern. Occurrences of outliers are unpredictable events that may severely distort the analysis of the multivariate time series. For instance, model building, seasonality assessment, and forecasting may be seriously affected by undetected outliers. The structure dependence of the multivariate time series gives rise to the well-known smearing and masking phenomena that prevent using most outliers' identification techniques. It may be noticed, however, that a convenient way for representing multiple outliers consists of superimposing a deterministic disturbance to a gaussian multivariate time series. Then outliers may be modeled as nongaussian time series components. Independent component analysis is a recently developed tool that is likely to be able to extract possible outlier patterns. In practice, independent component analysis may be used to analyze multivariate observable time series and separate regular and outlying unobservable components. In the factor models framework too, it is shown that independent component analysis is a useful tool for detection of outliers in multivariate time series. Some algorithms that perform independent component analysis are compared. It has been found that all algorithms are effective in detecting various types of outliers, such as patches, level shifts, and isolated outliers, even at the beginning or the end of the stretch of observations. Also, there is no appreciable difference in the ability of different algorithms to display the outlying observations pattern.

  9. Association Analysis for Visual Exploration of Multivariate Scientific Data Sets.

    Science.gov (United States)

    Liu, Xiaotong; Shen, Han-Wei

    2016-01-01

    The heterogeneity and complexity of multivariate characteristics poses a unique challenge to visual exploration of multivariate scientific data sets, as it requires investigating the usually hidden associations between different variables and specific scalar values to understand the data's multi-faceted properties. In this paper, we present a novel association analysis method that guides visual exploration of scalar-level associations in the multivariate context. We model the directional interactions between scalars of different variables as information flows based on association rules. We introduce the concepts of informativeness and uniqueness to describe how information flows between scalars of different variables and how they are associated with each other in the multivariate domain. Based on scalar-level associations represented by a probabilistic association graph, we propose the Multi-Scalar Informativeness-Uniqueness (MSIU) algorithm to evaluate the informativeness and uniqueness of scalars. We present an exploration framework with multiple interactive views to explore the scalars of interest with confident associations in the multivariate spatial domain, and provide guidelines for visual exploration using our framework. We demonstrate the effectiveness and usefulness of our approach through case studies using three representative multivariate scientific data sets.

  10. Solid Waste Operations Complex W-113, Detail Design Report (Title II). Volume 1: Title II design report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-09-01

    The Solid Waste Retrieval Facility--Phase 1 (Project W113) will provide the infrastructure and the facility required to retrieve from Trench 04, Burial ground 4C, contact handled (CH) drums and boxes at a rate that supports all retrieved TRU waste batching, treatment, storage, and disposal plans. This includes (1) operations related equipment and facilities, viz., a weather enclosure for the trench, retrieval equipment, weighing, venting, obtaining gas samples, overpacking, NDE, NDA, shipment of waste and (2) operations support related facilities, viz., a general office building, a retrieval staff change facility, and infrastructure upgrades such as supply and routing of water, sewer, electrical power, fire protection, roads, and telecommunication. Title I design for the operations related equipment and facilities was performed by Raytheon/BNFL, and that for the operations support related facilities including infrastructure upgrade was performed by KEH. These two scopes were combined into an integrated W113 Title II scope that was performed by Raytheon/BNFL. Volume 1 provides a comprehensive narrative description of the proposed facility and systems, the basis for each of the systems design, and the engineering assessments that were performed to support the technical basis of the Title II design. The intent of the system description presented is to provide WHC an understanding of the facilities and equipment provided and the A/E`s perspective on how these systems will operate.

  11. Relative Effectiveness of Titles, Abstracts, and Subject Headings for Machine Retrieval from the COMPENDEX Services

    Science.gov (United States)

    Byrne, Jerry R.

    1975-01-01

    Investigated the relative merits of searching on titles, subject headings, abstracts, free-language terms, and combinations of these elements. The combination of titles and abstracts came the closest to 100 percent retrieval. (Author/PF)

  12. Towards better process understanding: chemometrics and multivariate measurements in manufacturing of solid dosage forms.

    Science.gov (United States)

    Matero, Sanni; van Den Berg, Frans; Poutiainen, Sami; Rantanen, Jukka; Pajander, Jari

    2013-05-01

    The manufacturing of tablets involves many unit operations that possess multivariate and complex characteristics. The interactions between the material characteristics and process related variation are presently not comprehensively analyzed due to univariate detection methods. As a consequence, current best practice to control a typical process is to not allow process-related factors to vary i.e. lock the production parameters. The problem related to the lack of sufficient process understanding is still there: the variation within process and material properties is an intrinsic feature and cannot be compensated for with constant process parameters. Instead, a more comprehensive approach based on the use of multivariate tools for investigating processes should be applied. In the pharmaceutical field these methods are referred to as Process Analytical Technology (PAT) tools that aim to achieve a thorough understanding and control over the production process. PAT includes the frames for measurement as well as data analyzes and controlling for in-depth understanding, leading to more consistent and safer drug products with less batch rejections. In the optimal situation, by applying these techniques, destructive end-product testing could be avoided. In this paper the most prominent multivariate data analysis measuring tools within tablet manufacturing and basic research on operations are reviewed.

  13. Climate Change: Challenges and Opportunities for United States Pacific Command

    Science.gov (United States)

    2012-03-22

    movements. Busby asserts that, because of its vast forests, Indonesia plays an important role in determining impacts of climate change . Deforestation and... Climate Change : Challenges and Opportunities for United States Pacific Command by Lieutenant Colonel James D. Golden...DATES COVERED (From - To) 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Climate Change : Challenges and Opportunities for United

  14. 75 FR 33421 - Supplemental Nutrition Assistance Program: Quality Control Provisions of Title IV of Public Law...

    Science.gov (United States)

    2010-06-11

    ... Program: Quality Control Provisions of Title IV of Public Law 107-171; Final Rule #0;#0;Federal Register... Assistance Program: Quality Control Provisions of Title IV of Public Law 107-171 AGENCY: Food and Nutrition... ``Food Stamp Program: Non-Discretionary Quality Control Provisions of Title IV of Public Law...

  15. A Study of HTML Title Tag Creation Behavior of Academic Web Sites

    Science.gov (United States)

    Noruzi, Alireza

    2007-01-01

    The HTML title tag information should identify and describe exactly what a Web page contains. This paper analyzes the "Title element" and raises a significant question: "Why is the title tag important?" Search engines base search results and page rankings on certain criteria. Among the most important criteria is the presence of the search keywords…

  16. Comparing Unique Title Coverage of Web of Science and Scopus in Earth and Atmospheric Sciences

    Science.gov (United States)

    Barnett, Philip; Lascar, Claudia

    2012-01-01

    The current journal titles in earth and atmospheric sciences, that are unique to each of two databases, Web of Science and Scopus, were identified using different methods. Comparing by subject category shows that Scopus has hundreds of unique titles, and Web of Science just 16. The titles unique to each database have low SCImago Journal Rank…

  17. Are shorter article titles more attractive for citations? Cross-sectional study of 22 scientific journals.

    Science.gov (United States)

    Habibzadeh, Farrokh; Yadollahie, Mahboobeh

    2010-04-01

    To investigate the correlation between the length of the title of a scientific article and the number of citations it receives, in view of the common editorial call for shorter titles. Title and the number of citations to all articles published in 2005 in 22 arbitrarily chosen English-language journals (n=9031) were retrieved from citation database Scopus. The 2008 journal impact factors of these 22 journals were also retrieved from Thomson Reuters' Journal Citation Report (JCR). Assuming the article title length as the independent variable, and the number of citations to the article as the dependent variable, a linear regression model was applied. The slope of the regression line for some journals (n=6, when titles were measured in characters but 7 when titles were measured in words) was negative - none was significantly different from 0. The overall slope for all journals was 0.140 (when titles were measured in characters) and 0.778 (when titles were measured in words), which is significantly different from 0 (Pcitations - Spearman rho=0.266 - when titles were measured in characters, and rho=0.244 when titles were measured in words (Pjournals with impact factor >10 and for 2 out of 14 journals with impact factor citation rates. This association is more pronounced for journals with high impact factors. Editors who insist on brief and concise titles should perhaps update the guidelines for authors of their journals and have more flexibility regarding the length of the title.

  18. Comparing Unique Title Coverage of Web of Science and Scopus in Earth and Atmospheric Sciences

    Science.gov (United States)

    Barnett, Philip; Lascar, Claudia

    2012-01-01

    The current journal titles in earth and atmospheric sciences, that are unique to each of two databases, Web of Science and Scopus, were identified using different methods. Comparing by subject category shows that Scopus has hundreds of unique titles, and Web of Science just 16. The titles unique to each database have low SCImago Journal Rank…

  19. The effect of English job titles in job advertisements on Dutch respondents

    NARCIS (Netherlands)

    Meurs, F. van; Korzilius, H.P.L.M.; Planken, B.C.; Fairley, S.

    2007-01-01

    This paper reports on a study that tested the effect on Dutch respondents of using English in job titles. One half of the respondents evaluated five English job titles, and the other half evaluated the equivalent Dutch job titles. The results of the experiment support claims about the effect of Engl

  20. 75 FR 70254 - PSD and Title V Permitting Guidance for Greenhouse Gases

    Science.gov (United States)

    2010-11-17

    ... AGENCY PSD and Title V Permitting Guidance for Greenhouse Gases AGENCY: Environmental Protection Agency... the EPA has posted its guidance titled, ``PSD and Title V Permitting Guidance for Greenhouse Gases... for Greenhouse Gases.'' This document has been determined to be an EPA Significant Guidance...

  1. 48 CFR 252.239-7012 - Title to telecommunication facilities and equipment.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 3 2010-10-01 2010-10-01 false Title to telecommunication... CLAUSES Text of Provisions And Clauses 252.239-7012 Title to telecommunication facilities and equipment. As prescribed in 239.7411(b), use the following clause: Title to Telecommunication Facilities and...

  2. A Study of HTML Title Tag Creation Behavior of Academic Web Sites

    Science.gov (United States)

    Noruzi, Alireza

    2007-01-01

    The HTML title tag information should identify and describe exactly what a Web page contains. This paper analyzes the "Title element" and raises a significant question: "Why is the title tag important?" Search engines base search results and page rankings on certain criteria. Among the most important criteria is the presence of the search keywords…

  3. On the Translation of Chinese Film Title From the Functional Perspective

    Institute of Scientific and Technical Information of China (English)

    高红梅

    2010-01-01

    This thesis aims to analyze the translation of Chinese film titles from the functional perspective in the hope of elaborating the application area of Skopostheorie and finding a guiding theory for film title translation from Chinese to English,and Trying to work descriptively to discover the Principles underlying Chinese film title translation,which is a purposefulsctivity.

  4. Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle.

    Science.gov (United States)

    Brito Lopes, Fernando; da Silva, Marcelo Corrêa; Magnabosco, Cláudio Ulhôa; Goncalves Narciso, Marcelo; Sainz, Roberto Daniel

    2016-01-01

    This research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi-trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P multivariate index (LD1) were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs). Also, it enabled fine discrimination, rapid data summarization after genetic evaluation, and permitted accounting for maternal ability and the genetic direct potential of the animals. In addition, we recommend the use of longissimus muscle area and subcutaneous fat thickness as selection criteria, to allow estimation of breeding values before the first mating season in order to accelerate the response to individual selection.

  5. Multivariate model to characterise relations between maize mutant starches and hydrolysis kinetics.

    Science.gov (United States)

    Kansou, Kamal; Buléon, Alain; Gérard, Catherine; Rolland-Sabaté, Agnès

    2015-11-20

    The many studies about amylolysis have collected considerable information regarding the contribution of the starch physico-chemical properties. But the inherent elaborate and variable structure of granular starch and, consequently, the multifactorial condition of the system hinders the interpretation of the experimental results. The immediate benefit of multivariate statistical analysis approaches with that regard is twofold: considering the factors, possibly interrelated, all together and not independently, providing a first estimation of the magnitude and confidence level of the relations between factors and amylolysis kinetic parameters. Based on data of amylolysis of 13 starch samples from wild type, single and double mutants of maize by porcine pancreatic α-amylase (PPA), a multivariate analysis is proposed. Amylolysis progress-curves were fitted by a Weibull function, as proposed in a previous work, to extract three kinetic parameters: the reaction rate coefficient during the first time-unit, k, the reaction rate retardation over time, h, and the final hydrolysis extent, X∞. Multivariate models relate the macromolecular composition and the fractions of crystalline polymorphic types to the kinetic parameters. h and X∞ are found to be highly related to the measured properties. Thus the amylose content appears to be significantly correlated to the hydrolysis rate retardation, which sheds some light on the probable contribution of the amylose molecules contained in the granules. The multivariate models give correct prediction performances except for k whose a part of variability remains unexplained. A further analysis points out the extent of the characterisation effort of the granule structure needed to extend the fraction of explained variability.

  6. Multivariate refutation of aetiological hypotheses in non-experimental epidemiology.

    Science.gov (United States)

    Maclure, M

    1990-12-01

    Extension of Karl Popper's logic of refutation from the realm of contingency tables to multivariate modelling leads to the conclusion that rigorously scientific multivariate analysis in non-experimental epidemiology differs from the traditional quasi-scientific approach. Instead of aiming for high sensitivity in detecting aetiological agents, the goal in refutation is high specificity--to give the best defence of the 'innocence' of every exposure hypothesized as being a cause. Instead of 'forward selection' or 'backward elimination', multivariate refutation uses the method of 'forward elimination'. This entails a likelihood approach (which may be complemented by, but should be demarcated from, Bayesian methods) not only for statistical inference but also, by analogy, for study design and conduct: one starts with the conclusion (the estimate or hypothesis) and works backwards to the observations (the likelihood of the data or the design of the study). Differences in practice can sometimes be large, as illustrated by a study of hypothesized triggers of myocardial infarction. Multivariate refutation should replace the concept of multivariate modelling in non-experimental epidemiology.

  7. Drunk driving detection based on classification of multivariate time series.

    Science.gov (United States)

    Li, Zhenlong; Jin, Xue; Zhao, Xiaohua

    2015-09-01

    This paper addresses the problem of detecting drunk driving based on classification of multivariate time series. First, driving performance measures were collected from a test in a driving simulator located in the Traffic Research Center, Beijing University of Technology. Lateral position and steering angle were used to detect drunk driving. Second, multivariate time series analysis was performed to extract the features. A piecewise linear representation was used to represent multivariate time series. A bottom-up algorithm was then employed to separate multivariate time series. The slope and time interval of each segment were extracted as the features for classification. Third, a support vector machine classifier was used to classify driver's state into two classes (normal or drunk) according to the extracted features. The proposed approach achieved an accuracy of 80.0%. Drunk driving detection based on the analysis of multivariate time series is feasible and effective. The approach has implications for drunk driving detection. Copyright © 2015 Elsevier Ltd and National Safety Council. All rights reserved.

  8. Flow mapping and multivariate visualization of large spatial interaction data.

    Science.gov (United States)

    Guo, Diansheng

    2009-01-01

    Spatial interactions (or flows), such as population migration and disease spread, naturally form a weighted location-to-location network (graph). Such geographically embedded networks (graphs) are usually very large. For example, the county-to-county migration data in the U.S. has thousands of counties and about a million migration paths. Moreover, many variables are associated with each flow, such as the number of migrants for different age groups, income levels, and occupations. It is a challenging task to visualize such data and discover network structures, multivariate relations, and their geographic patterns simultaneously. This paper addresses these challenges by developing an integrated interactive visualization framework that consists three coupled components: (1) a spatially constrained graph partitioning method that can construct a hierarchy of geographical regions (communities), where there are more flows or connections within regions than across regions; (2) a multivariate clustering and visualization method to detect and present multivariate patterns in the aggregated region-to-region flows; and (3) a highly interactive flow mapping component to map both flow and multivariate patterns in the geographic space, at different hierarchical levels. The proposed approach can process relatively large data sets and effectively discover and visualize major flow structures and multivariate relations at the same time. User interactions are supported to facilitate the understanding of both an overview and detailed patterns.

  9. TMVA - Tool-kit for Multivariate Data Analysis in ROOT

    Energy Technology Data Exchange (ETDEWEB)

    Therhaag, Jan; Von Toerne, Eckhard [Univ. Bonn, Physikalisches Institut, Nussallee 12, 53115 Bonn (Germany); Hoecker, Andreas; Speckmayer, Peter [European Organization for Nuclear Research - CERN, CH-1211 Geneve 23 (Switzerland); Stelzer, Joerg [Deutsches Elektronen-Synchrotron - DESY, Platanenallee 6, D-15738 Zeuthen (Germany); Voss, Helge [Max-Planck-Institut fuer Kernphysik - MPI, Postfach 10 39 80, Saupfercheckweg 1, DE-69117 Heidelberg (Germany)

    2010-07-01

    Given the ever-increasing complexity of modern HEP data analysis, multivariate analysis techniques have proven an indispensable tool in extracting the most valuable information from the data. TMVA, the Tool-kit for Multivariate Data Analysis, provides a large variety of advanced multivariate analysis techniques for both signal/background classification and regression problems. In TMVA, all methods are embedded in a user-friendly framework capable of handling the pre-processing of the data as well as the evaluation of the results, thus allowing for a simple use of even the most sophisticated multivariate techniques. Convenient assessment and comparison of different analysis techniques enable the user to choose the most efficient approach for any particular data analysis task. TMVA is an integral part of the ROOT data analysis framework and is widely-used in the LHC experiments. In this talk I will review recent developments in TMVA, discuss typical use-cases in HEP and present the performance of our most important multivariate techniques on example data by comparing it to theoretical performance limits. (authors)

  10. AN IMPROVED MULTIVARIATE LOSS FUNCTION APPROACH TO OPTIMIZATION

    Institute of Scientific and Technical Information of China (English)

    Yizhong MA; Fengyu ZHAO

    2004-01-01

    The basic purpose of a quality loss function is to evaluate a loss to customers in a quantitative manner. Although there are several multivariate loss functions that have been proposed and studied in the literature, it has room for improvement. A good multivariate loss function should represent an appropriate compromise in terms of both process economics and the correlation structure among various responses. More important, it should be easily understood and implemented in practice.According to this criterion, we first introduce a pragmatic dimensionless multivariate loss function proposed by Artiles-Leon, then we improve the multivariate loss function in two respects: one is making it suitable for all three types of quality characteristics; the other is considering correlation structure among the various responses, which makes the improved multivariate loss function more adequate in the real world. On the bases of these, an example from industrial practice is provided to compare our improved method with other methods, and last, some reviews are presented in conclusion.

  11. Distance measure with improved lower bound for multivariate time series

    Science.gov (United States)

    Li, Hailin

    2017-02-01

    Lower bound function is one of the important techniques used to fast search and index time series data. Multivariate time series has two aspects of high dimensionality including the time-based dimension and the variable-based dimension. Due to the influence of variable-based dimension, a novel method is proposed to deal with the lower bound distance computation for multivariate time series. The proposed method like the traditional ones also reduces the dimensionality of time series in its first step and thus does not directly apply the lower bound function on the multivariate time series. The dimensionality reduction is that multivariate time series is reduced to univariate time series denoted as center sequences according to the principle of piecewise aggregate approximation. In addition, an extended lower bound function is designed to obtain good tightness and fast measure the distance between any two center sequences. The experimental results demonstrate that the proposed lower bound function has better tightness and improves the performance of similarity search in multivariate time series datasets.

  12. Multicomponent seismic noise attenuation with multivariate order statistic filters

    Science.gov (United States)

    Wang, Chao; Wang, Yun; Wang, Xiaokai; Xun, Chao

    2016-10-01

    The vector relationship between multicomponent seismic data is highly important for multicomponent processing and interpretation, but this vector relationship could be damaged when each component is processed individually. To overcome the drawback of standard component-by-component filtering, multivariate order statistic filters are introduced and extended to attenuate the noise of multicomponent seismic data by treating such dataset as a vector wavefield rather than a set of scalar fields. According to the characteristics of seismic signals, we implement this type of multivariate filtering along local events. First, the optimal local events are recognized according to the similarity between the vector signals which are windowed from neighbouring seismic traces with a sliding time window along each trial trajectory. An efficient strategy is used to reduce the computational cost of similarity measurement for vector signals. Next, one vector sample each from the neighbouring traces are extracted along the optimal local event as the input data for a multivariate filter. Different multivariate filters are optimal for different noise. The multichannel modified trimmed mean (MTM) filter, as one of the multivariate order statistic filters, is applied to synthetic and field multicomponent seismic data to test its performance for attenuating white Gaussian noise. The results indicate that the multichannel MTM filter can attenuate noise while preserving the relative amplitude information of multicomponent seismic data more effectively than a single-channel filter.

  13. Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming

    Directory of Open Access Journals (Sweden)

    Atta Ullah

    2014-01-01

    Full Text Available In practical utilization of stratified random sampling scheme, the investigator meets a problem to select a sample that maximizes the precision of a finite population mean under cost constraint. An allocation of sample size becomes complicated when more than one characteristic is observed from each selected unit in a sample. In many real life situations, a linear cost function of a sample size nh is not a good approximation to actual cost of sample survey when traveling cost between selected units in a stratum is significant. In this paper, sample allocation problem in multivariate stratified random sampling with proposed cost function is formulated in integer nonlinear multiobjective mathematical programming. A solution procedure is proposed using extended lexicographic goal programming approach. A numerical example is presented to illustrate the computational details and to compare the efficiency of proposed compromise allocation.

  14. Decomposition and Approximation of Multivariate Functions on the Cube

    Institute of Scientific and Technical Information of China (English)

    Zhi Hua ZHANG

    2013-01-01

    In this paper,we present a decomposition method of multivariate functions.This method shows that any multivariate function f on [0,1]d is a finite sum of the form ∑j φjΨj,where each φj can be extended to a smooth periodic function,each Ψj is an algebraic polynomial,and each φjΨj is a product of separated variable type and its smoothness is same as f.Since any smooth periodic function can be approximated well by trigonometric polynomials,using our decomposition method,we find that any smooth multivariate function on [0,1]d can be approximated well by a combination of algebraic polynomials and trigonometric polynomials.Meanwhile,we give a precise estimate of the approximation error.

  15. Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

    DEFF Research Database (Denmark)

    Pimentel Maia, Rafael; Madsen, Per; Labouriau, Rodrigo

    2013-01-01

    A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented...... concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the hazard function will be assumed to be piece-wise constant....... The discrete time models used are multivariate variants of the discrete relative risk models. These models allow for regular parametric likelihood-based inference by exploring a coincidence of their likelihood functions and the likelihood functions of suitably defined multivariate generalized linear mixed...

  16. Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

    DEFF Research Database (Denmark)

    Pimentel Maia, Rafael; Madsen, Per; Labouriau, Rodrigo

    2014-01-01

    A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented...... concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the hazard function will be assumed to be piece-wise constant....... The discrete time models used are multivariate variants of the discrete relative risk models. These models allow for regular parametric likelihood-based inference by exploring a coincidence of their likelihood functions and the likelihood functions of suitably defined multivariate generalized linear mixed...

  17. Adaptive Parametrization of Multivariate B-splines for Image Registration

    DEFF Research Database (Denmark)

    Hansen, Michael Sass; Glocker, Benjamin; Navab, Nassir;

    2008-01-01

    cost function. In the current work we introduce multivariate B-splines as a novel alternative to the widely used tensor B-splines enabling us to make efficient use of the derived measure.The multivariate B-splines of order n are Cn- 1 smooth and are based on Delaunay configurations of arbitrary 2D or 3......D control point sets. Efficient algorithms for finding the configurations are presented, and B-splines are through their flexibility shown to feature several advantages over the tensor B-splines. In spite of efforts to make the tensor product B-splines more flexible, the knots are still bound...... to reside on a regular grid. In contrast, by efficient non- constrained placement of the knots, the multivariate B- splines are shown to give a good representation of inho- mogeneous objects in natural settings. The wide applicability of the method is illustrated through its application on medical data...

  18. Multivariate Variance Targeting in the BEKK-GARCH Model

    DEFF Research Database (Denmark)

    Pedersen, Rasmus Søndergaard; Rahbek, Anders

    This paper considers asymptotic inference in the multivariate BEKK model based on (co-)variance targeting (VT). By de…nition the VT estimator is a two-step estimator and the theory presented is based on expansions of the modi…ed likelihood function, or estimating function, corresponding to these ......This paper considers asymptotic inference in the multivariate BEKK model based on (co-)variance targeting (VT). By de…nition the VT estimator is a two-step estimator and the theory presented is based on expansions of the modi…ed likelihood function, or estimating function, corresponding...... to these two steps. Strong consistency is established under weak moment conditions, while sixth order moment restrictions are imposed to establish asymptotic normality. Included simulations indicate that the multivariately induced higher-order moment constraints are indeed necessary....

  19. A multivariate heuristic model for fuzzy time-series forecasting.

    Science.gov (United States)

    Huarng, Kun-Huang; Yu, Tiffany Hui-Kuang; Hsu, Yu Wei

    2007-08-01

    Fuzzy time-series models have been widely applied due to their ability to handle nonlinear data directly and because no rigid assumptions for the data are needed. In addition, many such models have been shown to provide better forecasting results than their conventional counterparts. However, since most of these models require complicated matrix computations, this paper proposes the adoption of a multivariate heuristic function that can be integrated with univariate fuzzy time-series models into multivariate models. Such a multivariate heuristic function can easily be extended and integrated with various univariate models. Furthermore, the integrated model can handle multiple variables to improve forecasting results and, at the same time, avoid complicated computations due to the inclusion of multiple variables.

  20. Multivariate methods and forecasting with IBM SPSS statistics

    CERN Document Server

    Aljandali, Abdulkader

    2017-01-01

    This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Dis...