Buy this book
- About this Textbook
-
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.
- Reviews
-
"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.)
- Table of contents (8 chapters)
-
-
Basic Concepts
Pages 1-45
-
Utility and Loss
Pages 46-73
-
Prior Information and Subjective Probability
Pages 74-117
-
Bayesian Analysis
Pages 118-307
-
Minimax Analysis
Pages 308-387
-
Table of contents (8 chapters)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Statistical Decision Theory and Bayesian Analysis
- Authors
-
- James O. Berger
- Series Title
- Springer Series in Statistics
- Copyright
- 1985
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4757-4286-2
- DOI
- 10.1007/978-1-4757-4286-2
- Hardcover ISBN
- 978-0-387-96098-2
- Softcover ISBN
- 978-1-4419-3074-3
- Series ISSN
- 0172-7397
- Edition Number
- 2
- Number of Pages
- XVI, 618
- Additional Information
- Originally published with the title: Statistical Decision Theory
- Topics
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.
