Asymptotic analysis of mixed effects models : theory, applications, and open problems

Author(s)

    • Jiang, Jiming

Bibliographic Information

Asymptotic analysis of mixed effects models : theory, applications, and open problems

Jiming Jiang

(Monographs on statistics and applied probability, 155)

CRC Press, c2017

  • : hardback

Available at  / 8 libraries

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Note

"A Chapman & Hall book"

Includes bibliographical references (p. 233-247) and index

Description and Table of Contents

Description

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph is suitable for researchers and graduate students who wish to learn about asymptotic tools and research problems in mixed effects models. It may also be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.

Table of Contents

Introduction Asymptotic Analysis of Linear Mixed Models Asymptotic Analysis of Generalized Linear Mixed Models Small Area Estimation Asymptotic Analysis in OtherMixed Effects Models Bibliography Index

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