Double Generalized Beta-Binomial and Negative Binomial Regression Models
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2017
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| _version_ | 1876469734184058880 |
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| author | Edilberto Cepeda-Cuervo |
| author_facet | Edilberto Cepeda-Cuervo |
| contents | Double Generalized Beta-Binomial and Negative Binomial Regression Models Edilberto Cepeda-Cuervo María Victoria Cifuentes-Amado Física, Astronomía y Matemáticas Beta Distribution Overdispersion Bayesian Approach Negative Binomial Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data. These models are based on reparameterizations of the beta-binomial and negative binomial distributions. Finally, we propose a Bayesian approach to estimate the parameters of the overdispersion regression models and use it to fit a school absenteeism dataset. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526009 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40 |
| format | Artículo científico |
| id | redalyc_89949526009 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Double Generalized Beta-Binomial and Negative Binomial Regression Models Edilberto Cepeda-Cuervo Física, Astronomía y Matemáticas Beta Distribution Overdispersion Bayesian Approach Negative Binomial Double Generalized Beta-Binomial and Negative Binomial Regression Models Edilberto Cepeda-Cuervo María Victoria Cifuentes-Amado Física, Astronomía y Matemáticas Beta Distribution Overdispersion Bayesian Approach Negative Binomial Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data. These models are based on reparameterizations of the beta-binomial and negative binomial distributions. Finally, we propose a Bayesian approach to estimate the parameters of the overdispersion regression models and use it to fit a school absenteeism dataset. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526009 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40 |
| title | Double Generalized Beta-Binomial and Negative Binomial Regression Models |
| topic | Física, Astronomía y Matemáticas Beta Distribution Overdispersion Bayesian Approach Negative Binomial |
| url | https://www.redalyc.org/articulo.oa?id=89949526009 |