Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems

✍ Scribed by Jiming Jiang

Publisher: Chapman and Hall/CRC;CRC Press
Year: 2017
Tongue: English
Leaves: 273
Series: Monographs on statistics and applied probability (Series) 155
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

Content: 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

✦ Subjects

Multilevel models (Statistics);Correlation (Statistics);Mathematical statistics.;Mathematical models.;Correlazione.

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