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

✍ Scribed by Fu, Liyong; Lei, Yuancai; Sharma, Ram P.; Tang, Shouzheng

Book ID
126738052
Publisher
Taylor and Francis Group
Year
2013
Tongue
English
Weight
539 KB
Volume
40
Category
Article
ISSN
0266-4763

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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