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Statistical Decision Theory and Bayesian Analysis

AvJames O. Berger

Inbunden, Engelska, 1985

Del i serien Springer Series in Statistics

1 926 kr

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2 500 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:1985-08-21
Mått:155 x 235 x 40 mm
Vikt:1 115 g
Format:Inbunden
Språk:Engelska
Serie:Springer Series in Statistics
Antal sidor:618
Upplaga:2
Förlag:Springer-Verlag New York Inc.
ISBN:9780387960982

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Recensioner i media

"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.)

Innehållsförteckning

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.

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