Model Choice in Nonnested Families

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Éditeur :

Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2016-12-30

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Description

This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.
Pages
96 pages
Collection
SpringerBriefs in Statistics
Parution
2016-12-30
Marque
Springer
EAN papier
9783662537350
EAN PDF
9783662537367

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
2038 Ko
Prix
58,01 €
EAN EPUB
9783662537367

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1700 Ko
Prix
58,01 €