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Bayesian Statistics : An Introduction

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ISBN-10: 0195208021

ISBN-13: 9780195208023

Edition: N/A

Authors: Peter M. Lee

List price: $55.00
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Description:

Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastingsalgorithm as well as an introduction to the use of BUGS, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.
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Book details

List price: $55.00
Publisher: Oxford University Press, Incorporated
Publication date: 8/31/1989
Binding: Hardcover
Pages: 304
Size: 6.38" wide x 9.50" long x 0.88" tall
Weight: 1.364
Language: English

Preliminaries
Bayesian inference for the Normal Distribution
Some other common distributions
Hypothesis testing
Two-sample problems
Correlation, regression and ANOVA
Other topics
Hierarchical models
The Gibbs sampler
Common statistical distributions
Tables
R programs
Further reading
References
Index
Table of Contents provided by Publisher. All Rights Reserved.