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Bivariate zero-inflated generalized Poisson regression model with flexible covariance

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  • Pouya Faroughi
  • Noriszura Ismail

Abstract

This paper introduces several forms of nested bivariate zero-inflated generalized Poisson (BZIGP) regression model which can be fitted to bivariate and zero-inflated count data. The main advantage of having several forms of BZIGP regression model is that they are nested and allow likelihood ratio test to be performed for choosing the best model. In addition, the BZIGP regression models have flexible forms of marginal mean–variance relationship, can be fitted to bivariate and zero-inflated count data with positive or negative correlations, and allow additional overdispersion of the two response variables. The BZIGP regression models are fitted to the Australian Health Survey data.

Suggested Citation

  • Pouya Faroughi & Noriszura Ismail, 2017. "Bivariate zero-inflated generalized Poisson regression model with flexible covariance," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(15), pages 7769-7785, August.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:15:p:7769-7785
    DOI: 10.1080/03610926.2016.1165846
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