Statistical Decision Theory and Bayesian Analysis - Rilegato

Libro 8 di 160: Springer Series in Statistics

Berger, James O.

 
9780387960982: Statistical Decision Theory and Bayesian Analysis

Sinossi

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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Recensione

"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.)

Contenuti

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; Appendices.

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Altre edizioni note dello stesso titolo

9783540960980: Statistical Decision Theory and Bayesian Analysis

Edizione in evidenza

ISBN 10:  3540960988 ISBN 13:  9783540960980
Casa editrice: Springer-Verlag Berlin and Heide..., 1993
Rilegato