Bayesian and frequentist regression methods

Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place.  Th...

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Detalles Bibliográficos
Autor principal: Wakefield, Jon
Formato: Livre numérique
Lenguaje:Anglais
Publicado: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edición:1st ed. 2013.
Colección:Springer Series in Statistics
Acceso en línea:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Bayesian and frequentist regression methods, Jon Wakefield, New York, Springer, 2013, 1 vol. (XIX-697 p.), Springer series in statistics, 978-1-441-90924-4
• Bayesian and Frequentist Regression Methods, Texte imprimé, 9781441909268
• Bayesian and Frequentist Regression Methods, Texte imprimé, 9781493938629
Tabla de Contenidos:
  • Introduction Frequentist Inference Bayesian Inference Linear Models Binary Data Models General Regression Models