Second-order Least Squares Estimation in Generalized Linear Mixed Models

Maximum likelihood is an ubiquitous method used in the estimation of generalized linear mixed model (GLMM). However, the method entails computational difficulties and relies on the normality assumption for random effects. We propose a second-order least squares (SLS) estimator based on the first two...

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Bibliographic Details
Main Author: Li, He
Other Authors: Wang, Liqun(Statistics)
Language:en_US
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/1993/4446

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