ABSTRACT
In this article, a new mixed Poisson distribution is introduced. This new distribution is obtained by utilizing mixing process, with Poisson distribution as mixed distribution and Transmuted Exponential as mixing distribution. Distributional properties like unimodality, moments, over-dispersion, infinite divisibility are studied. Three methods viz. Method of moment, Method of moment and proportion, and Maximum-likelihood method are used for parameter estimation. Further, an actuarial application in context of aggregate claim distribution is presented. Finally, to show the applicability and superiority of proposed model, we discuss count data and count regression modeling and compare with some well established models.
Acknowledgments
The authors acknowledge profound thanks to anonymous referee for giving comments which have immensely improved the presentation of the paper.
Funding
EGD was partially funded by grant ECO2013–47092 (Ministerio de Economía y Competitividad, Spain).