Optimal Statistical Decision Bayesian Inference In Statistical Analysis Applied Statistical Decision Theory PDF Download
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Author | : Morris H. DeGroot |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2006-05-19 |
Genre | : Mathematics |
ISBN | : 9780471687887 |
Download Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory Book in PDF, ePub and Kindle
Set that includes three works covering statistical decision theory and analysis The three books within this set are Optimal Statistical Decisions, Bayesian Inference in Statistical Analysis, and Applied Statistical Decision Theory. Optimal Statistical Decisions discusses the theory and methodology of decision-making in the field. The volume stands as a clear introduction to Bayesian statistical decision theory. A second book, Bayesian Inference in Statistical Analysis, examines the application and relevance of Bayes' theorem to problems that occur during scientific investigations, where inferences must be made regarding parameter values about which little is known. Key aspects of the Bayesian approach are discussed, including the choice of prior distribution, the problem of nuisance parameters, and the role of sufficient statistics. Applied Statistical Decision Theory covers the development of analytic techniques in the field of statistical decision theory. This classic book was first published in the 1960s.
Author | : Ming-Hui Chen |
Publisher | : Springer Science & Business Media |
Total Pages | : 631 |
Release | : 2010-07-24 |
Genre | : Mathematics |
ISBN | : 1441969446 |
Download Frontiers of Statistical Decision Making and Bayesian Analysis Book in PDF, ePub and Kindle
Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.
Author | : James O. Berger |
Publisher | : Springer Science & Business Media |
Total Pages | : 633 |
Release | : 2013-03-14 |
Genre | : Mathematics |
ISBN | : 147574286X |
Download Statistical Decision Theory and Bayesian Analysis Book in PDF, ePub and Kindle
In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
Author | : Shanti S. Gupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 535 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 146122618X |
Download Statistical Decision Theory and Related Topics V Book in PDF, ePub and Kindle
The Fifth Purdue International Symposium on Statistical Decision The was held at Purdue University during the period of ory and Related Topics June 14-19,1992. The symposium brought together many prominent leaders and younger researchers in statistical decision theory and related areas. The format of the Fifth Symposium was different from the previous symposia in that in addition to the 54 invited papers, there were 81 papers presented in contributed paper sessions. Of the 54 invited papers presented at the sym posium, 42 are collected in this volume. The papers are grouped into a total of six parts: Part 1 - Retrospective on Wald's Decision Theory and Sequential Analysis; Part 2 - Asymptotics and Nonparametrics; Part 3 - Bayesian Analysis; Part 4 - Decision Theory and Selection Procedures; Part 5 - Probability and Probabilistic Structures; and Part 6 - Sequential, Adaptive, and Filtering Problems. While many of the papers in the volume give the latest theoretical developments in these areas, a large number are either applied or creative review papers.
Author | : Howard Raiffa |
Publisher | : John Wiley & Sons |
Total Pages | : 388 |
Release | : 2000-06-02 |
Genre | : Mathematics |
ISBN | : 047138349X |
Download Applied Statistical Decision Theory Book in PDF, ePub and Kindle
Das definitive Buch zur Anwendung der Bayes-Statistik auf wirtschaftliche Probleme in der Praxis, bei denen es um Entscheidungen mit unsicheren Randbedingungen geht! Der Aktionsplan als Ziel der Analyse soll sowohl den Prioritäten Rechnung tragen, die der Entscheidungsfinder bei den Folgen setzt, als auch unbekannte Faktoren in Form von Wahrscheinlichkeiten enthalten. - Jetzt als preiswerte Paperback-Ausgabe! (08/00)
Author | : Ming-Hui Chen |
Publisher | : Springer |
Total Pages | : 631 |
Release | : 2010-08-05 |
Genre | : Mathematics |
ISBN | : 9781441969453 |
Download Frontiers of Statistical Decision Making and Bayesian Analysis Book in PDF, ePub and Kindle
Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.
Author | : Silvia Bacci |
Publisher | : CRC Press |
Total Pages | : 217 |
Release | : 2019-07-11 |
Genre | : Mathematics |
ISBN | : 1351621386 |
Download Introduction to Statistical Decision Theory Book in PDF, ePub and Kindle
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory. Features Covers approaches for making decisions under certainty, risk, and uncertainty Illustrates expected utility theory and its extensions Describes approaches to elicit the utility function Reviews classical and Bayesian approaches to statistical inference based on decision theory Discusses the role of causal analysis in statistical decision theory
Author | : S. Panchapakesan |
Publisher | : Springer Science & Business Media |
Total Pages | : 478 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461223083 |
Download Advances in Statistical Decision Theory and Applications Book in PDF, ePub and Kindle
Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.
Author | : John Winsor Pratt |
Publisher | : MIT Press |
Total Pages | : 906 |
Release | : 1995 |
Genre | : Business & Economics |
ISBN | : 9780262161442 |
Download Introduction to Statistical Decision Theory Book in PDF, ePub and Kindle
They then examine the Bernoulli, Poisson, and Normal (univariate and multivariate) data generating processes.
Author | : Borek Puza |
Publisher | : ANU Press |
Total Pages | : 698 |
Release | : 2015-10-01 |
Genre | : Mathematics |
ISBN | : 1921934263 |
Download Bayesian Methods for Statistical Analysis Book in PDF, ePub and Kindle
Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.