Using R In Generalized Linear Models
Journal Title: Revista Romana de Statistica - Year 2015, Vol 63, Issue 3
Abstract
This paper aims to approach the estimation of generalized linear models (GLM) on the basis of the glm routine package in R. Particularly, regression models will be analyzed for those cases in which the explained variable follows a Poisson or a Negative Binomial distribution. The paper will briefly present the GLM methodology for count data, while the practical part will revolve around estimating and comparing models in which the response variable shows the number of claims in a portfolio of automobile insurance policies.
Authors and Affiliations
Mihaela Covrig, Iulian Mircea, Gheorghiţă Zbăganu, Alexandru Coşer
Keywords
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