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Statistical Decision Theory and Bayesian Analysis: Springer Series in Statistics

Autor James O. Berger
en Limba Engleză Paperback – dec 2010
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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Specificații

ISBN-13: 9781441930743
ISBN-10: 1441930744
Pagini: 640
Ilustrații: XVI, 618 p.
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.88 kg
Ediția:Softcover reprint of hardcover 2nd ed. 1985
Editura: Springer
Colecția Springer
Seria Springer Series in Statistics

Locul publicării:New York, NY, United States

Public țintă

Graduate

Cuprins

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.

Recenzii

"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.)