Description: Bayesian Inference in Statistical Analysis, Paperback by Box, George E. P.; Tiao, George C., ISBN 0471574287, ISBN-13 9780471574286, Brand New, Free shipping in the US 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.
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Book Title: Bayesian Inference in Statistical Analysis
Number of Pages: 608 Pages
Publication Name: Bayesian Inference in Statistical Analysis
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 1992
Item Height: 1.5 in
Subject: Probability & Statistics / General
Item Weight: 30.5 Oz
Type: Textbook
Item Length: 9 in
Author: George C. Tiao, George E. P. Box
Subject Area: Mathematics
Item Width: 6 in
Series: Wiley Classics Library
Format: Trade Paperback
