The use of working variables in the bayesian modeling of mean and dispersion parameters in generalized nonlinear models with random effects
This article is aimed at reviewing a novel Bayesian approach to handle inference and estimation in the class of generalized nonlinear models. These models include some of the main techniques of statistical methodology, namely generalized linear models and parametric nonlinear regression. In addit...
Autor Principal: | Gutiérrez, Andrés |
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Formato: | Desconocido (Unknown) |
Publicado: |
2019
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Materias: | |
Acceso en línea: | http://hdl.handle.net/11634/20436 |
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