Bayesian Inference in Statistical Analysis eBook
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Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.

About the book
Author
George E. P.  Box , George C.  Tiao
Imprint
Wiley-Interscience
Collection
Wiley Classics Library
Publication date
2011-01-25
Pages
608 pages
Print ISBN
9780471574286
Language
English
Ebook informations
EAN PDF
9781118031445
Price
£169.80
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Copy count 0
Print count 608
File size 23235 Ko
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