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Title: Statistical Decision Theory and Bayesian Analysis ([EBook] /) / by James O. Berger. Dewey Class: 519.5 Author: Berger, James O. Edition statement: Second Edition. Publication: New York, NY : : Springer New York : : Imprint: Springer,, 1985. Other name(s): SpringerLink (Online service) Physical Details: XVI, 618 p. : online resource. Series: Springer Series in Statistics,0172-7397 ISBN: 9781475742862 System details note: Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) Summary Note: 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.: Contents note: 1 Basic Concepts -- 2 Utility and Loss -- 3 Prior Information and Subjective Probability -- 4 Bayesian Analysis -- 5 Minimax Analysis -- 6 Invariance -- 7 Preposterior and Sequential Analysis -- 8 Complete and Essentially Complete Classes -- Appendix 1 Common Statistical Densities -- I Continuous -- II Discrete -- Appendix 2 Supplement to Chapter 4 -- II Development of (4.121) and (4.122) -- III Verification of Formula (4.123) -- Appendix 3 Technical Arguments from Chapter 7 -- I Verification of Formula (7.8) -- II Verification of Formula (7.10) -- Notation and Abbreviations -- Author Index. ------------------------------ *** There are no holdings for this record *** -----------------------------------------------
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