Exponentiated Weibull-Geometric Regression Model

• Activity Number: 126 - New Development in Reliability Models and Innovative Applications
• Type: Contributed
• Date/Time: Monday, July 30, 2018 : 8:30 AM to 10:20 AM
• Sponsor: Section on Physical and Engineering Sciences
• Author(s): Felix Famoye*
• Companies: Central Michigan University
• Keywords: Estimation; goodness-of-fit; under- and over-dispersion; zero-inflation

Abstract

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.