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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Materias: | |
| 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 |