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Negative binomial regression with application in autorating
1998Thesis - Athens University of Economics and Business.
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Improving Estimation of Regression Parameters in Negative Binomial Regression Model
2018In this study, we proposed a preliminary test strategy that incorporated subspace information into parameter estimation using a negative binomial regression model. The relative performance of proposed estimators was investigated through both Monte Carlo simulations and application to a real dataset, using the classical maximum likelihood estimator as ...
Orawan Reangsephet +2 more
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Testing the linearity of negative binomial regression models
Journal of Statistical Computation and Simulation, 2013The negative binomial (NB) is frequently used to model overdispersed Poisson count data. To study the effect of a continuous covariate of interest in an NB model, a flexible procedure is used to model the covariate effect by fixed-knot cubic basis-splines or B-splines with a second-order difference penalty on the adjacent B-spline coefficients to avoid
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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
exaly
A New Effective Jackknifing Estimator in the Negative Binomial Regression Model
Symmetry, 2023Tuba Koc, Haydar Koc
exaly
Macro-level collision prediction using geographically weighted negative binomial regression
Journal of Transportation Safety and Security, 2022Seun Daniel Oluwajana, Peter Y Park
exaly

