Téléchargez le livre :  Bayesian Inference in Statistical Analysis

Bayesian Inference in Statistical Analysis

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Éditeur :

Wiley-Interscience


Collection :

Wiley Classics Library

Paru le : 2011-01-25

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Description
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.
Pages
608 pages
Collection
Wiley Classics Library
Parution
2011-01-25
Marque
Wiley-Interscience
EAN papier
9780471574286
EAN PDF
9781118031445

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
608
Taille du fichier
23235 Ko
Prix
202,51 €