Statistical decision theory and Bayesian analysis
著者
書誌事項
Statistical decision theory and Bayesian analysis
（Springer series in statistics）
Springer-Verlag, c1985
2nd ed
- : us
- : gw
- : pbk
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注記
Bibliography: p. [571]-598
Includes indexes
内容説明・目次
- 巻冊次
-
: us ISBN 9780387960982
内容説明
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.
目次
- 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.
- 巻冊次
-
: pbk ISBN 9781441930743
内容説明
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.
目次
- 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.
- 巻冊次
-
: gw ISBN 9783540960980
内容説明
An overview of statistical decision theory, which emphasizes the use and application of the philosophical ideas and mathematical structure of decision theory. The text assumes a knowledge of basic probability theory and some advanced calculus is also required.
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