The zero-inflated Poisson regression model is a special case of finite mixture models that is useful for count data containing many zeros. Typically, maximum likelihood (ML) estimation is used for ...

Poisson regression is nonlinear regression analysis of the Poisson distribution used to analyze discrete data. In Poisson regression requires conditions where the mean and variance values of the ...

Training a Poisson regression model is the process of finding the values of the intercept/constant and the coefficients so that predicted y count values (before rounding) closely match the known, ...

Zero-inflated Poisson (ZIP) regression is a model for count data with excess zeros. It assumes that with probability p the only possible observation is 0, and with probability 1 - p, a Poisson (λ) ...

Tzougas, G. and di Cerchiara, A.P. (2021) Bivariate Mixed Poisson Regression Models with Varying Dispersion. North American Actuarial Journal, 27, 211-241.

A Poisson regression model was applied for the statistical analysis. Results and discussion: The number of reported cases of malaria was 175,198. The regression analysis showed that temperature, ...

The Conway–Maxwell–Poisson (COM–Poisson) distribution was proposed by Conway and Maxwell [3]. This distribution is applicable to real counting data that express over- and under-dispersion data, so COM ...