Bayesian Inference in Statistical Analysis
( Wiley Classics Library )
Publication series ：Wiley Classics Library
Author： George E. P. Box
Publisher： John Wiley & Sons Inc
Publication year： 2011
E-ISBN: 9781118031445
P-ISBN(Paperback): 9780471574286
P-ISBN(Hardback): 9780471574286
Subject： O212 Statistics
Language： ENG
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Description
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.
Chapter