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Statistical Decision Theory and Bayesian Analysis : Springer Series in Statistics - James O. Berger

Statistical Decision Theory and Bayesian Analysis

Springer Series in Statistics

Hardcover Published: 1st March 1993
ISBN: 9780387960982
Number Of Pages: 618

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"The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library." -Bulletin of the American Mathematical Society 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.

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"The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library."
(Bulletin of the Am. Mathematical Soc.)

Basic concepts
Utility and loss
Prior information and subjective probability
Bayesian analysis
Minimax analysis
Invariance
Preposterior and sequential analysis
Complete and essentially complete classes
Appendices
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780387960982
ISBN-10: 0387960988
Series: Springer Series in Statistics
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 618
Published: 1st March 1993
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 23.62 x 15.75  x 3.3
Weight (kg): 1.0
Edition Number: 2
Edition Type: Revised

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