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Asymptotic Analysis of Mixed Effects Models

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Asymptotic Analysis of Mixed Effects Models 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.

About This Edition

ISBN: 9781032096773
Publication date:
Author: Jiming Jiang
Publisher: Chapman & Hall/CRC an imprint of Taylor & Francis Ltd
Format: Paperback
Pagination: 272 pages
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Genres: Probability and statistics
Biology, life sciences