Conditional Specification of Statistical Models

Conditional Specification of Statistical Models
Author: Barry C. Arnold
Publisher: Springer Science & Business Media
Total Pages: 419
Release: 2007-06-02
Genre: Mathematics
ISBN: 0387225889

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Efforts to visualize multivariate densities necessarily involve the use of cross-sections, or, equivalently, conditional densities. This book focuses on distributions that are completely specified in terms of conditional densities. They are appropriately used in any modeling situation where conditional information is completely or partially available. All statistical researchers seeking more flexible models than those provided by classical models will find conditionally specified distributions of interest.

Conditionally Specified Distributions

Conditionally Specified Distributions
Author: Barry C. Arnold
Publisher: Springer Science & Business Media
Total Pages: 165
Release: 2012-12-06
Genre: Mathematics
ISBN: 146122912X

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The concept of conditional specification is not new. It is likely that earlier investigators in this area were deterred by computational difficulties encountered in the analysis of data following con ditionally specified models. Readily available computing power has swept away that roadblock. A broad spectrum of new flexible models may now be added to the researcher's tool box. This mono graph provides a preliminary guide to these models. Further development of inferential techniques, especially those involving concomitant variables, is clearly called for. We are grateful for invaluable assistance in the preparation of this monograph. In Riverside, Carole Arnold made needed changes in grammer and punctuation and Peggy Franklin miraculously transformed minute hieroglyphics into immaculate typescript. In Santander, Agustin Manrique ex pertly transformed rough sketches into clear diagrams. Finally, we thank the University of Cantabria for financial support which made possible Barry C. Arnold's enjoyable and productive visit to S- tander during the initial stages of the project. Barry C. Arnold Riverside, California USA Enrique Castillo Jose Maria Sarabia Santander, Cantabria Spain January, 1991 Contents 1 Conditional Specification 1 1.1 Why? ............. ........ . 1 1.2 How may one specify a bivariate distribution? 2 1.3 Early work on conditional specification 4 1.4 Organization of this monograph . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 5 2 Basic Theorems 7 Compatible conditionals: The finite discrete case.

Advances in Mathematical and Statistical Modeling

Advances in Mathematical and Statistical Modeling
Author: Barry C. Arnold
Publisher: Springer Science & Business Media
Total Pages: 374
Release: 2009-04-09
Genre: Mathematics
ISBN: 0817646264

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Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented.

Development of Markov Random Field Models Based on Exponential Family Conditional Distributions

Development of Markov Random Field Models Based on Exponential Family Conditional Distributions
Author: Kyoji Furukawa
Publisher:
Total Pages: 220
Release: 2004
Genre:
ISBN:

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Constructing statistical models through the specification of conditional distributions is being recognized as an appealing approach to a multivariate data analysis. A useful class of such models may be formulated by assuming that the conditional distributions are specified as exponential families. The class of exponential family conditional (EFC) models is expected to provide a general model framework that may be applied to a wide variety of situations that may contain complex dependence structures. The overall objective of this study is to develop and refine the general methodology for EFC models. Among a number of EFC models that have been studied so far, the Gaussian conditionals family has attracted a major interest, both theoretically and practically, and has been applied to many problems. Unfortunately, many of the nice properties and results that are available for Gaussian conditionals models are not transferable to non-Gaussian EFC models, and we need to develop adequate procedures for modeling, estimation, and inference for a generalized class of EFC models. Among a number of issues associated with such general EFC models, we are mainly concerned in this study with three problems: (1) developing a general procedure of MRF construction using multi-parameter exponential families, (2) application of the general procedure to a problem of spatial, categorical data analysis, and (3) investigating useful parameterizations of EFC models.

Advances in Statistics - Theory and Applications

Advances in Statistics - Theory and Applications
Author: Indranil Ghosh
Publisher: Springer Nature
Total Pages: 443
Release: 2021-04-01
Genre: Mathematics
ISBN: 3030629007

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This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

Probability and Statistical Models with Applications

Probability and Statistical Models with Applications
Author: CH. A. Charalambides
Publisher: CRC Press
Total Pages: 665
Release: 2000-09-21
Genre: Mathematics
ISBN: 1420036084

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This monograph of carefully collected articles reviews recent developments in theoretical and applied statistical science, highlights current noteworthy results and illustrates their applications; and points out possible new directions to pursue. With its enlightening account of statistical discoveries and its numerous figures and tables, Probabili

Handbook of Statistical Modeling for the Social and Behavioral Sciences

Handbook of Statistical Modeling for the Social and Behavioral Sciences
Author: G. Arminger
Publisher: Springer Science & Business Media
Total Pages: 603
Release: 2013-06-29
Genre: Psychology
ISBN: 1489912924

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Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

Distribution Models Theory

Distribution Models Theory
Author: Rafael Herrerias-pleguezuelo
Publisher: World Scientific
Total Pages: 307
Release: 2006-08-30
Genre: Business & Economics
ISBN: 9814477400

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Distribution Models Theory is a revised edition of papers specially selected by the Scientific Committee for the Fifth Workshop of Spanish Scientific Association of Applied Economy on Distribution Models Theory held in Granada (Spain) in September 2005. The contributions offer a must-have point of reference on models theory.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings® (ISTP®/ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version/ISI Proceedings)

Algebraic and Geometric Methods in Statistics

Algebraic and Geometric Methods in Statistics
Author: Paolo Gibilisco
Publisher: Cambridge University Press
Total Pages: 447
Release: 2010
Genre: Mathematics
ISBN: 0521896193

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An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.