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Parameter estimation for mixtures of generalized linear mixed-effects models

by 1971- Wang, Lihua

Abstract (Summary)
Finite mixtures of simpler component models such as mixtures of normals and mixtures of generalized linear models (GLM) have proven useful for modelling data arising from a heterogeneous population, typically under an independence assumption. Mixed-effects models are often used to handle correlation as arises in longitudinal or other clustered data. In
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School:The University of Georgia

School Location:USA - Georgia

Source Type:Master's Thesis

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