Bayesian Inference in Statistical Analysis

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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 ...

Bayesian Inference in Statistical Analysis 1998, Addison Wesley Longman

ISBN-13: 9780201006223

Hardcover

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Bayesian Inference in Statistical Analysis 1992, Wiley-Interscience, New York, NY

ISBN-13: 9780471574286

Wiley Classics Lib edition

Trade paperback

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