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Titlebook: Model Choice in Nonnested Families; Basilio de Bragan?a Pereira,Carlos Alberto de Brag Book 2016 The Author(s) 2016 separate statistical m

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發(fā)表于 2025-3-21 17:43:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Model Choice in Nonnested Families
編輯Basilio de Bragan?a Pereira,Carlos Alberto de Brag
視頻videohttp://file.papertrans.cn/636/635745/635745.mp4
概述Explores the problem of nonnested statistical model choice.Helps researchers choose between alternative models.Features various examples and computer simulations.Presents an account and developments o
叢書名稱SpringerBriefs in Statistics
圖書封面Titlebook: Model Choice in Nonnested Families;  Basilio de Bragan?a Pereira,Carlos Alberto de Brag Book 2016 The Author(s) 2016 separate statistical m
描述.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..
出版日期Book 2016
關(guān)鍵詞separate statistical models; nonnested statistical models; model choice; statistical model discriminati
版次1
doihttps://doi.org/10.1007/978-3-662-53736-7
isbn_softcover978-3-662-53735-0
isbn_ebook978-3-662-53736-7Series ISSN 2191-544X Series E-ISSN 2191-5458
issn_series 2191-544X
copyrightThe Author(s) 2016
The information of publication is updating

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Book 2016 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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Model Choice in Nonnested Families978-3-662-53736-7Series ISSN 2191-544X Series E-ISSN 2191-5458
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https://doi.org/10.1007/978-3-662-53736-7separate statistical models; nonnested statistical models; model choice; statistical model discriminati
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2191-544X Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text..978-3-662-53735-0978-3-662-53736-7Series ISSN 2191-544X Series E-ISSN 2191-5458
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Agents for Cross-Organisational Business Interoperability of collaborating enterprises. Businesses seek agile partnerships where companies focus on core business activities and partners provide complementary expertise. Successful collaboration demands a tight yet flexible integration of business processes. In this paper we focus on issues of process inter
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