Bayesian inference
Author(s)
Bibliographic Information
Bayesian inference
（Kendall's advanced theory of statistics / Alan Stuart & J. Keith Ord, v. 2B）
Edward Arnold, 1999, c1994
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Note
Bibliography: p. 310-324
Includes index
Description and Table of Contents
Description
This volume deals with the fundamental theory and principles of Bayesian inference, including estimation, hypothesis testing, and the linear model. The coverage provided overlaps with that of "Kendall's Advanced Theory of Statistics, Volumes 1 and 2" from a Bayesian viewpoint, and cross-referencing is provided where appropriate. Thinking common to both Classical and Bayesian theory is not repeated. A major source and reference, covering advanced level theory at a level which every professional statistician needs to know before specializing, the book also provides an introduction to other major fields which are covered in other books in this series. This book should be of interest to professional statisticians and statistical libraries.
Table of Contents
- The Bayesian method
- inference and decisions
- general principles and theories
- subjective probability
- non-subjective theories
- subjective prior distributions
- robustness and model comparison
- computation
- the linear model
- other standard models.
by "Nielsen BookData"
