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Model choice in nonnested families

Pereira, Carlos Alberto de Braganca.

Model choice in nonnested families

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Model choice in nonnested families/ by Basilio de Braganca Pereira, Carlos Alberto de Braganca Pereira.
作者:	Pereira, Basilio de Braganca.
其他作者:	Pereira, Carlos Alberto de Braganca.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	x, 96 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Mathematical statistics. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-53736-7
ISBN:	9783662537367

Model choice in nonnested families
Pereira, Basilio de Braganca.

Model choice in nonnested families[electronic resource] /by Basilio de Braganca Pereira, Carlos Alberto de Braganca Pereira. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - x, 96 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

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.

ISBN: 9783662537367

Standard No.: 10.1007/978-3-662-53736-7doiSubjects--Topical Terms:

527941
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Model choice in nonnested families
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505 0 $a Preliminaries -- Frequentist Methods -- Bayesian Methods -- Support and Simulation Methods -- Maximum Likelihood Estimation -- Index.
520 $a 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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