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Mixed-Effects Models and Small Area Estimation978-981-19-9486-9Series ISSN 2191-544X Series E-ISSN 2191-5458Consensus 发表于 2025-3-22 04:00:56
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胆小鬼 发表于 2025-3-22 06:25:51
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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食料 发表于 2025-3-22 23:42:24
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玉米 发表于 2025-3-23 03:52:04
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-HeLocale 发表于 2025-3-23 06:04:02
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