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George E. P. Box - Bayesian Inference in Statistical Analysis - 9780471574286 - V9780471574286
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Bayesian Inference in Statistical Analysis

€ 202.32
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Description for Bayesian Inference in Statistical Analysis Paperback. Designed to form the basis of a graduate course on Bayesian inference, this textbook discusses important general issues of the Bayesian approach. It investigates problems, illustrating the appropriate analysis of mathematical results with numerical examples. Series: Wiley Classics Library. Num Pages: 608 pages, tables, index. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 154 x 40. Weight in Grams: 883.
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 ... Read more

Product Details

Format
Paperback
Publication date
1992
Publisher
John Wiley and Sons Ltd United States
Number of pages
608
Condition
New
Series
Wiley Classics Library
Number of Pages
608
Place of Publication
, United States
ISBN
9780471574286
SKU
V9780471574286
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About George E. P. Box
GEORGE E. P. BOX, PhD, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin, Madison. His lifelong work has defined statistical analysis, while his name and research is a part of some of the most influential statistical constructs, including Box & Jenkins models, Box & Cox transformations, and Box & Behnken designs. Dr. ... Read more

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