On Gamma Regression Residuals
Authors
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. ‎
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Journal title
volume 15 issue None
pages 29- 44
publication date 2016-07
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