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Bayesian Inference in Statistical Analysis
George E. P. Box
George C. Tiao
出版
John Wiley & Sons
, 2011-01-25
主題
Mathematics / Probability & Statistics / General
Mathematics / General
Mathematics / Probability & Statistics / Stochastic Processes
ISBN
111803144X
9781118031445
URL
http://books.google.com.hk/books?id=T8Askeyk1k4C&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.