A new bivariate generalized Poisson distribution

Felix Famoye

doi:10.1111/j.1467-9574.2009.00446.x

A new bivariate generalized Poisson distribution

Felix Famoye

Statistics, Actuarial & Data Sciences

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

Abstract

In this paper, a new bivariate generalized Poisson distribution (GPD) that allows any type of correlation is defined and studied. The marginal distributions of the bivariate model are the univariate GPDs. The parameters of the bivariate distribution are estimated by using the moment and maximum likelihood methods. Some test statistics are discussed and one numerical data set is used to illustrate the applications of the bivariate model.

Original language	English
Pages (from-to)	112-124
Number of pages	13
Journal	Statistica Neerlandica
Volume	64
Issue number	1
DOIs	https://doi.org/10.1111/j.1467-9574.2009.00446.x
State	Published - Feb 2010

Keywords

Correlated count data
Estimation
Over- and under-dispersion
Score test

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10.1111/j.1467-9574.2009.00446.x

Cite this

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KW - Estimation

KW - Over- and under-dispersion

KW - Score test

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A new bivariate generalized Poisson distribution

Abstract

Keywords

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