Journal of Applied & Computational Mathematics

Department of Pure and Applied Sciences, Pan African University, Nairobi, Kenya

Publications

• Research Article   
  A Spatial-Nonparametric Approach for Prediction of Claim Frequency in Motor Car Insurance
  Author(s): Kipngetich Gideon*
  
  Spatial modeling has largely been applied in epidemiology and disease modeling. Different methods such as generalized linear models (GLMs), Poisson regression models, and Bayesian Models have been made available to predict the claim frequency for forthcoming years. However, due to the heterogeneous nature of policies, these methods do not produce precise and reliable prediction of future claim frequencies; these traditional statistical methods rely heavily on limiting assumptions including linearity, normality, predictor variable independence, and an established functional structure connecting the criterion and predictive variables. This study investigated how to construct a spatial nonparametric regression model estimator tor for prediction of claim frequency of insurance claims data. The study adopted a nonparametric function based on smoothing Spline in constructing the model. The .. Read More»
  DOI: 10.37421/2168-9679.2021.10.484

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