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Model choice in nonnested families[e...
~
Pereira, Basilio de Braganca.
Model choice in nonnested families[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
519.5
書名/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:
Statistics for Life Sciences, Medicine, Health Sciences.
標題:
Econometrics.
標題:
Biostatistics.
標題:
Statistics and Computing/Statistics Programs.
標題:
Mathematical statistics.
標題:
Bayesian statistical decision theory.
標題:
Statistics.
標題:
Statistical Theory and Methods.
標題:
Statistics for Business/Economics/Mathematical Finance/Insurance.
ISBN:
9783662537367
ISBN:
9783662537350
內容註:
Preliminaries -- Frequentist Methods -- Bayesian Methods -- Support and Simulation Methods -- Maximum Likelihood Estimation -- Index.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-3-662-53736-7
Model choice in nonnested families[electronic resource] /
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:
464109
Statistics for Life Sciences, Medicine, Health Sciences.
LC Class. No.: QA276
Dewey Class. No.: 519.5
Model choice in nonnested families[electronic resource] /
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