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Bayesian Inference in Statistical Analysis

Bayesian Inference in Statistical Analysis - Wiley Classics Library

Paperback (21 Apr 1992)

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Publisher's Synopsis

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.

Book information

ISBN: 9780471574286
Publisher: Wiley
Imprint: Wiley-Interscience
Pub date:
DEWEY: 519.54
DEWEY edition: 20
Language: English
Number of pages: 588
Weight: 862g
Height: 229mm
Width: 152mm
Spine width: 38mm