bivariate zero-inflated generalized com-poisson regression model with application

Count data often display excessive number of zero outcomes than are expectedin the poisson regression model. the zero-inflated poisson regression modelhas been suggested to handle zero-inflated data. for bivariate and zero inflated cases,several regression models such as the bivariate zero-inflated poisson (bzip) have beenconsidered. in this paper, we first introduce bivariate generalized conway-maxwell-poisson regression model. then we extend it to bivariate zero-inflated generalizedconway-maxwell-poisson regression model and calculate some of its properties. theproposed model was applied to a real data set. this model can be fitted to bivariatezero-inflated count data with positive or negative correlations and allow additionaloverdispersion of the two dependent variables.