On Marginal Quasi-Likelihood Inference i
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Brajendra C. Sutradhar; R.Prabhakar Rao
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Article
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2001
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Elsevier Science
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English
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In view of the cumbersome and often intractable numerical integrations required for a full likelihood analysis, several suggestions have been made recently for approximate inference in generalized linear mixed models (GLMMs). Two closely related approximate methods are the penalized quasi-likelihood