On gamma regression residuals
In this paper we propose a new residuals for gamma regression models, assuming that both mean and shape parameters, follow regression structures. The models are summarized and fitted by applying both classic and Bayesian methods as proposed by Cepeda-Cuervo. The residuals are proposed from propertie...
- Autores:
-
Cifuentes, María Victoria
Corrales Bossio, Martha Lucía
Zarate, Héctor
Cepeda Cuervo, Edilberto
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2019
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/20882
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/20882
http://bdigital.unal.edu.co/11551/
- Palabra clave:
- 51 Matemáticas / Mathematics
Gamma regression
Fisher scoring algorithm
Bayesian estimation, residuals.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | In this paper we propose a new residuals for gamma regression models, assuming that both mean and shape parameters, follow regression structures. The models are summarized and fitted by applying both classic and Bayesian methods as proposed by Cepeda-Cuervo. The residuals are proposed from properties of the biparametric exponential family of distributions and simulated and real data sets are analyzed to determine the performance and behavior of the proposed residuals. |
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