Bayesian beta regression models: joint mean and precision modeling

This paper summarizes the beta regression models, with joint modeling of the mean and precision parameters, and the Bayesian methodology proposed by Cepeda (2001) and Cepeda and Gamenrman (2005) to fit these models. This Bayesian methodology is implemented and applied in the development of simulated...

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Autores:
Cepeda Cuervo, Edilberto
Garrido Lopera, B. Liliana
Tipo de recurso:
Work document
Fecha de publicación:
2011
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
eng
OAI Identifier:
oai:repositorio.unal.edu.co:unal/9140
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/9140
http://bdigital.unal.edu.co/5947/
Palabra clave:
31 Colecciones de estadística general / Statistics
51 Matemáticas / Mathematics
Beta regression
Bayesian methodology
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:This paper summarizes the beta regression models, with joint modeling of the mean and precision parameters, and the Bayesian methodology proposed by Cepeda (2001) and Cepeda and Gamenrman (2005) to fit these models. This Bayesian methodology is implemented and applied in the development of simulated and applied studies.