PENERAPAN REGRESI POISSON GENERALIZED POISSON REGRESSION DALAM MEMODELKAN KASUS ANGKA KEMATIAN IBU DI SUMATERA BARAT TAHUN 2015

Censored generalized Poisson regression model

This paper develops a censored generalized Poisson regression model that can be used to predict a response variable that is a2ected by one or more explanatory variables. The censored generalized Poisson regression model is suitable for modeling count data that exhibit either overor under-dispersion. The regression parameters are estimated by the method of maximum likelihood and approximate test...

Poisson Regression in Epidemiology

Various authors [3, 9, 11, 12] have noted that Poisson regression can be used to analyze cohort survival data (see Cohort Study). This formulation also leads to a unification of risk estimation based on internal comparison of rates among members of a cohort with various exposure levels and classical epidemiologic methods based on external rates that yield standardized mortality ratios or standa...

Handling Overdispersion with Negative Binomial and Generalized Poisson Regression Models

In actuarial hteramre, researchers suggested various statistical procedures to estimate the parameters in claim count or frequency model. In particular, the Poisson regression model, which is also known as the Generahzed Linear Model (GLM) with Poisson error structure, has been x~adely used in the recent years. However, it is also recognized that the count or frequency data m insurance practice...

Estimating Regression Effects in Com Poisson Generalized Linear Model

Com Poisson distribution is capable of modeling the count responses irrespective of their mean variance relation and the parameters of this distribution when fitted to a simple cross sectional data can be efficiently estimated using maximum likelihood (ML) method. In the regression setup, however, ML estimation of the parameters of the Com Poisson based generalized linear model is computational...

Dynamics of generalized Poisson and Nambu–Poisson brackets