Type I multivariate zero‐inflated COM–Poisson regression model
Copyright policy )Type I multivariate zero‐inflated COM–Poisson regression model
AbstractIn this paper, we present the Type I multivariate zero‐inflated Conway–Maxwell–Poisson distribution, whose development is based on the extension of the Type I multivariate zero‐inflated Poisson distribution. We developed important properties of the distribution and present a regression model. The AIC and BIC criteria are used to select the best fitted model. Two real data sets have been used to illustrate the proposed model. Moreover, we conclude by stating that the Type I multivariate zero‐inflated Conway–Maxwell–Poisson distribution produces a better fitted model for multivariate count data with excess of zeros.
regression model, Models, Statistical, type I MZICOMP, overdispersion, COVID-19, zero-inflated, Poisson Distribution, Applications of statistics to biology and medical sciences; meta analysis
regression model, Models, Statistical, type I MZICOMP, overdispersion, COVID-19, zero-inflated, Poisson Distribution, Applications of statistics to biology and medical sciences; meta analysis
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