A general approach to mixed effects modeling of residual variances in generalized linear mixed models

We propose a general Bayesian approach to heteroskedastic error modeling for generalized linear mixed models (GLMM) in which linked functions of conditional means and residual variances are specified as separate linear combinations of fixed and random effects. We focus on the linear mixed model (LMM...

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Detalles Bibliográficos
Autores principales: Kizilkaya, Kadir, Tempelman, Robert J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733896/
https://www.ncbi.nlm.nih.gov/pubmed/15588567
http://dx.doi.org/10.1186/1297-9686-37-1-31

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733896/
https://www.ncbi.nlm.nih.gov/pubmed/15588567
http://dx.doi.org/10.1186/1297-9686-37-1-31

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