Flexiblity of using COM-Poisson regression model for count data

Abstract

The Poisson regression model is the most common model for fitting count data. However, it is suitable only for modeling equi-dispersed distribution. The Conway-Maxwell-Poisson (COM-Poisson) regression model allows modeling over and under-dispersion distribution. The purpose of this study is to demonstrate the flexibility of the Conway-Maxwell- Poisson (COM-Poisson) regression model on simulation and alg data.