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Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr
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Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr

Bayesian Inference in Statistical Analysis

George E. P. Box (Author), George C. Tiao (Author)

9780471574286, Wiley

Paperback / softback, published 21 April 1992

608 pages

22.9 x 15.2 x 3.8 cm, 0.862 kg

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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Bayesian Inference Statistical AnalysIS: 40 (Wiley Classics Libr

Bayesian Inference in Statistical Analysis

George E. P. Box (Author), George C. Tiao (Author)

9780471574286, Wiley

Paperback / softback, published 21 April 1992

608 pages

22.9 x 15.2 x 3.8 cm, 0.862 kg

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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Product Description

Bayesian Inference in Statistical Analysis

George E. P. Box (Author), George C. Tiao (Author)

9780471574286, Wiley

Paperback / softback, published 21 April 1992

608 pages

22.9 x 15.2 x 3.8 cm, 0.862 kg

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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trade paperback

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english

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wiley classics library

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textbook

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John Wiley & Sons Inc

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