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Modelling the Claim Count with Poisson Regression and Negative Binomial Regression
2005It is of interest for an insurance company to model the claim count or the claim severity in the presence of covariates or covariate factors describing the policyholders. In this paper the Poisson regression is presented (in the context of generalized linear models) and fitted to car insurance claims data. Since there are symptoms of over-dispersion in
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Post estimation and prediction strategies in negative binomial regression model
International Journal of Modelling and Simulation, 2021Supranee Lisawadi, Orawan Reangsephet
exaly
Macro-level collision prediction using geographically weighted negative binomial regression
Journal of Transportation Safety and Security, 2022Peter Y Park, Seun Daniel Oluwajana
exaly
A New Effective Jackknifing Estimator in the Negative Binomial Regression Model
Symmetry, 2023Tuba Koc, Haydar Koc
exaly
Poisson and Negative Binomial Regression Analysis
2020Anusha Musunuru +3 more
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Developing a Liu estimator for the negative binomial regression model: method and application
Journal of Statistical Computation and Simulation, 2013Kristofer MÃ¥nsson
exaly

