A multivariate generalized poisson regression model

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Abstract

A multivariate generalized Poisson regression model based on the multivariate generalized Poisson distribution is defined and studied. The regression model can be used to describe a count data with any type of dispersion. The model allows for both positive and negative correlation between any pair of the response variables. The parameters of the regression model are estimated by using the maximum likelihood method. Some test statistics are discussed, and two numerical data sets are used to illustrate the applications of the multivariate count data regression model.

Original languageEnglish
Pages (from-to)497-511
Number of pages15
JournalCommunications in Statistics - Theory and Methods
Volume44
Issue number3
DOIs
StatePublished - Feb 1 2015

Keywords

  • Correlated data
  • Count data
  • Estimation
  • Over- And under-dispersion
  • Test

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