Bayesian statistics : an introduction / Peter M. Lee.
By: Lee, Peter M
.
Material type: 
BookPublisher: London : Edward Arnold, 1997Description: xii, 344 p. ; 24 cm. + pbk.ISBN: 0340677856.Subject(s): Bayesian statistical decision theory | Maximum entropy methodDDC classification: 519.542 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 519.542 (Browse shelf(Opens below)) | 1 | Available | 00069968 |
Enhanced descriptions from Syndetics:
Thoroughly updated and expanded, this successful introduction to the subject includes a new chapter on hierarchical methods in Bayesian statistics and gives a fuller treatment of empirical Bayes methods. It also includes a chapter on real numerical methods, especially the EM algorithm and Gibbs sampling, and a description of Bayes linear methods.
Includes bibliographical references (pages 329-337) and index.
Preliminaries -- Bayesian inference for the normal distribution -- Some other common distributions -- Hypothesis testing -- Two-sample problems -- Correlation, regression and the analysis of variance -- Other topics -- Hierarchical models -- The Gibbs sampler and other numerical methods.
Table of contents provided by Syndetics
- 1 Preliminaries
- 2 Bayesian inference for the Normal Distribution
- 3 Some other common distributions
- 4 Hypothesis testing
- 5 Two-sample problems
- 6 Correlation, regression and ANOVA
- 7 Other topics
- 8 Hierarchical models
- 9 The Gibbs sampler
- Common statistical distributions
- Tables
- R programs
- Further reading
- References
- Index