Description: Wiley Classics Library: Bayesian Inference in Statistical Analysis by George C. Tiao and George E. P. Box. Wiley, 1992. 588 page paperback in very good condition with no other interior markings or glaring flaws. 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. $5.15 domestic U.S. shipping. Payment must be received within 24 hours of sale.
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Location: Las Cruces, New Mexico
End Time: 2024-10-12T20:21:21.000Z
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All returns accepted: ReturnsNotAccepted
Subject Area: Mathematics
Publication Name: Bayesian Inference in Statistical Analysis
Publisher: Wiley & Sons, Incorporated, John
Item Length: 9 in
Subject: Probability & Statistics / General
Publication Year: 1992
Series: Wiley Classics Library
Type: Textbook
Format: Trade Paperback
Language: English
Item Height: 1.5 in
Personalized: No
Educational Level: Adult & Further Education
Author: George C. Tiao, George E. P. Box
Level: Beginner, Intermediate, Advanced
Features: .
Country/Region of Manufacture: United States
Item Weight: 30.5 Oz
Item Width: 6 in
Number of Pages: 588 Pages