Abstract:
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An exponentiated Weibull-geometric distribution is defined and studied. A count data regression model, based on the exponentiated Weibull-geometric distribution, is also defined. The regression model can be applied to fit an under-dispersed or an over-dispersed count data. The method of maximum likelihood estimation is proposed for estimating the model parameters. A numerical data set is used to illustrate the applications of the regression model.
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