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Model Choice in Nonnested Families (Paperback, 1st ed. 2016)
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Model Choice in Nonnested Families (Paperback, 1st ed. 2016)
Series: SpringerBriefs in Statistics
Expected to ship within 10 - 15 working days
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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.
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