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126 – New Development in Reliability Models and Innovative Applications
Exponentiated Weibull-Geometric Regression Model
Felix Famoye
Central Michigan University
An exponentiated Weibull-geometric distribution is defined and studied. Some of its properties, such as unimodality and moments are discussed. The method of maximum likelihood estimation is proposed for estimating the model parameters. 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. Two numerical data sets are used to illustrate the applications of the exponentiated Weibull-geometric regression model.