A new zero-inflated regression model with application

In this paper, a new zero-inflated regression model, called Zero-Inflated Poisson-Lindley regression model, is proposed for count data modeling. Poisson-Lindley distribution arises from the Poisson distribution when its parameter follows a Lindley distribution. Contrary to Poisson distribution, Poisson-Lindley distribution allows for over-dispersion. Therefore, a new model is good candidate to model the over-dispersed and zero-inflated data sets. Application of proposed model to real data set is given and compared with Poisson and Zero-Inflated Poisson regression models. Empirical findings reveal that the Zero-Inflated Poisson-Lindley regression model provides better fits than Zero-Inflated Poisson regression model for zero-inflated and over-dispersed data set