Statistical Decision Theory and Bayesian Analysis
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...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
1985, 1985
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| Edition: | 2nd ed. 1985 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 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