Bivariate regression models based on compound Poisson distribution

Abdulhamid A. Alzaid, Fatimah E. Almuhayfith and Maha A. Omair

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 15, 7375-7389

Abstract: Based on a compound Poisson distribution, new bivariate regression models are introduced and studied. The parameters of the bivariate regression models are estimated by using the maximum likelihood method. Two applications on real datasets are presented to illustrate the models. The results show that these models are compatible to other bivariate Poisson models.

Date: 2017
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DOI: 10.1080/03610926.2016.1152483

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