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Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm

✍ Scribed by Fu, Liyong; Wang, Mingliang; Lei, Yuancai; Tang, Shouzheng

Book ID: 122144907
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 778 KB
Volume: 69
Category: Article
ISSN: 0167-9473
DOI: 10.1016/j.csda.2013.05.026

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## Abstract Nonlinear mixed effects models are now widely used in biometrical studies, especially in pharmacokinetic research or for the analysis of growth traits for agricultural and laboratory species. Most of these studies, however, are often based on ML estimation procedures, which are known to