Departamento de Estadistica, Universidad Nacional de Colombia
Abstract
In this paper, we propose 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 (2001). The residuals are proposed from properties of the biparametric exponential family of distributions. Simulated and real data sets are analyzed to determine the performance and behavior of the proposed residuals.
Cepeda-Cuervo,E. , Corrales,M. , Cifuentes,&. V. and Zarate,&. (2022). On Gamma Regression Residuals. Journal of the Iranian Statistical Society, 15(1), 29-44.
MLA
Cepeda-Cuervo,E. , , Corrales,M. , , Cifuentes,&. V. , and Zarate,&. . "On Gamma Regression Residuals", Journal of the Iranian Statistical Society, 15, 1, 2022, 29-44.
HARVARD
Cepeda-Cuervo E., Corrales M., Cifuentes &. V., Zarate &. (2022). 'On Gamma Regression Residuals', Journal of the Iranian Statistical Society, 15(1), pp. 29-44.
CHICAGO
E. Cepeda-Cuervo, M. Corrales, &. V. Cifuentes and &. Zarate, "On Gamma Regression Residuals," Journal of the Iranian Statistical Society, 15 1 (2022): 29-44,
VANCOUVER
Cepeda-Cuervo E., Corrales M., Cifuentes &. V., Zarate &. On Gamma Regression Residuals. JIRSS, 2022; 15(1): 29-44.
Journal of the Iranian Statistical Society