Model Choice in Nonnested Families. 1st ed. 2016
- 種類:
- 電子ブック
- 責任表示:
- by Basilio de Bragança Pereira, Carlos Alberto de Bragança Pereira
- 出版情報:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016
- 著者名:
- シリーズ名:
- SpringerBriefs in Statistics ;
- ISBN:
- 9783662537367 [3662537362]
- 注記:
- Preliminaries -- Frequentist Methods -- Bayesian Methods -- Support and Simulation Methods -- Maximum Likelihood Estimation -- Index.
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. - ローカル注記:
- 学内専用E-BOOKS (local access only)
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