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Titlebook: Mixed-Effects Models and Small Area Estimation; Shonosuke Sugasawa,Tatsuya Kubokawa Book 2023 The Author(s), under exclusive license to Sp

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發(fā)表于 2025-3-21 18:24:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mixed-Effects Models and Small Area Estimation
編輯Shonosuke Sugasawa,Tatsuya Kubokawa
視頻videohttp://file.papertrans.cn/636/635222/635222.mp4
概述Introduces not only classical theory of mixed-effects models but also recently proposed techniques.Explains in detail self-contained theory and methods of mixed-effects models adopted in small area.Il
叢書名稱SpringerBriefs in Statistics
圖書封面Titlebook: Mixed-Effects Models and Small Area Estimation;  Shonosuke Sugasawa,Tatsuya Kubokawa Book 2023 The Author(s), under exclusive license to Sp
描述.This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter estimation, random effects prediction, variable selection, and asymptotic theory, are introduced. Standard mixed-effects models used in small area estimation, known as the Fay-Herriot model and the nested error regression model, are then introduced. Both frequentist and Bayesian approaches are given to compute predictors of small area parameters of interest. For measuring uncertainty of the predictors, several methods to calculate mean squared errors and confidence intervals are discussed. Various advanced approaches using mixed-effects models are introduced, from frequentist to Bayesian approaches. This book is helpful for researchers and graduate students in fields requiring data analysis skills as well as in mathematical statistics..
出版日期Book 2023
關(guān)鍵詞Mixed-effects Models; Small Area Estimation; Empirical Bayes; Bayesian Statistics; Random Effects; Fay-He
版次1
doihttps://doi.org/10.1007/978-981-19-9486-9
isbn_softcover978-981-19-9485-2
isbn_ebook978-981-19-9486-9Series ISSN 2191-544X Series E-ISSN 2191-5458
issn_series 2191-544X
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
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發(fā)表于 2025-3-21 23:49:48 | 只看該作者
Mixed-Effects Models and Small Area Estimation978-981-19-9486-9Series ISSN 2191-544X Series E-ISSN 2191-5458
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發(fā)表于 2025-3-22 04:00:56 | 只看該作者
Shonosuke Sugasawa,Tatsuya KubokawaIntroduces not only classical theory of mixed-effects models but also recently proposed techniques.Explains in detail self-contained theory and methods of mixed-effects models adopted in small area.Il
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2191-544X om frequentist to Bayesian approaches. This book is helpful for researchers and graduate students in fields requiring data analysis skills as well as in mathematical statistics..978-981-19-9485-2978-981-19-9486-9Series ISSN 2191-544X Series E-ISSN 2191-5458
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2191-544X and methods of mixed-effects models adopted in small area.Il.This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-ef
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Book 2023oducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter estimation, random effects prediction, variable selection, and asymptotic theory, are introduced. Standard mixed-effects models used in small area estimation, known as the Fay-He
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The Moral Question: Interacting with Traditional Values,y (in a procedural or substantive perception), justice (on a distributive or attributive perception), dignity and meritocracy and, reasonably enough, the principle of equality itself. The inner relationship between affirmative action and equality is a key-element for the better understanding and imp
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