3 papers
stat.ME2020
Modelling excess zeros in count data: A new perspective on modelling approaches
John Haslett, Andrew C. Parnell, John Hinde +1
We consider the analysis of count data in which the observed frequency of zero counts is unusually large, typically with respect to the Poisson distribution. We focus on two altern…
stat.AP2018
Reparametrization of COM-Poisson Regression Models with Applications in the Analysis of Experimental Data
Eduardo E. Ribeiro, Walmes M. Zeviani, Wagner H. Bonat +2
In the analysis of count data often the equidispersion assumption is not suitable, hence the Poisson regression model is inappropriate. As a generalization of the Poisson distribut…
stat.ME2016
Extended Poisson-Tweedie: properties and regression models for count data
Wagner H. Bonat, Bent Jørgensen, Célestin C. Kokonendji +2
We propose a new class of discrete generalized linear models based on the class of Poisson-Tweedie factorial dispersion models with variance of the form , where is the…