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Bayesian Statistics An Introduction

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ISBN-10: 0340814055

ISBN-13: 9780340814055

Edition: 3rd 2004 (Revised)

Authors: Peter M. Lee

List price: $55.00
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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-Hastings algorithm 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
Edition: 3rd
Copyright year: 2004
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/20/2009
Binding: Paperback
Pages: 352
Size: 6.25" wide x 9.00" long x 0.75" 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