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- catalog abstract ""Bayesian Theory is the first volume of a related series of three and will be followed by Bayesian Computation, and Bayesian Methods. The series aims to provide an up-to-date overview of the why?, how? and what? of Bayesian statistics." "This volume provides a thorough account of key basic concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development, which provides, in particular, a detailed treatment of the problem of specification of so-called "prior ignorance"." "The work is written from the authors' committed Bayesian perspective, but an overview of non-Bayesian theories is provided, and each chapter contains a wide-ranging critical re-examination of controversial issues." "The level of mathematics used is such that most material should be accessible to readers with a knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics." "The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics."--BOOK JACKET.".
- catalog contributor b5777159.
- catalog contributor b5777160.
- catalog created "1994.".
- catalog date "1994".
- catalog date "1994.".
- catalog dateCopyrighted "1994.".
- catalog description ""Bayesian Theory is the first volume of a related series of three and will be followed by Bayesian Computation, and Bayesian Methods. The series aims to provide an up-to-date overview of the why?, how? and what? of Bayesian statistics." "This volume provides a thorough account of key basic concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development, which provides, in particular, a detailed treatment of the problem of specification of so-called "prior ignorance"." "The work is written from the authors' committed Bayesian perspective, but an overview of non-Bayesian theories is provided, and each chapter contains a wide-ranging critical re-examination of controversial issues." "The level of mathematics used is such that most material should be accessible to readers with a knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics." "The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics."--BOOK JACKET.".
- catalog description "Foundations -- Generalisations -- Modelling -- Inference -- Remodelling.".
- catalog description "Includes bibliographical references and indexes.".
- catalog extent "xiv, 586 p. :".
- catalog identifier "0471924164".
- catalog isPartOf "Wiley series in probability and mathematical statistics".
- catalog issued "1994".
- catalog issued "1994.".
- catalog language "eng".
- catalog publisher "New York : Wiley,".
- catalog subject "519.5/42 20".
- catalog subject "Bayesian methods".
- catalog subject "Bayesian statistical decision theory.".
- catalog subject "QA279.5 .B47 1993".
- catalog tableOfContents "Foundations -- Generalisations -- Modelling -- Inference -- Remodelling.".
- catalog title "Bayesian theory / José M. Bernardo, Adrian F.M. Smith.".
- catalog type "text".