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ERIC Number: EJ609130
Record Type: Journal
Publication Date: 2000
Pages: N/A
Abstractor: N/A
Reference Count: N/A
ISSN: ISSN-0033-3123
Bayesian Inference for Finite Mixtures of Generalized Linear Models with Random Effects.
Lenk, Peter J.; DeSarbo, Wayne S.
Psychometrika, v65 n1 p93-119 Mar 2000
Presents a hierarchical Bayes approach to modeling parameter heterogeneity in generalized linear models. The approach combines the flexibility of semiparametric latent class models that assume common parameters for each subpopulation and the parsimony of random effects models that assume normal distributions for the regression parameters. Illustrates the method through simulations. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A