Transition models for count data: a flexible alternative to fixed distribution models

Abstract A flexible semiparametric class of models is introduced that offers an alternative to classical regression for count data as the Poisson and Negative Binomial model, well more general accounting excess zeros are also based on fixed distributional assumptions. The model allows itself determine distribution response variable, but, in its basic form, uses a parametric term specifies effect explanatory variables. In addition, extended version considered, which effects covariates specified nonparametrically. proposed traditional compared simulations by utilizing several real applications from area health social science.