A note non Nonparametric Regression Modeling using a Density Function

Jakperik Dioggban
2020 African Journal of Applied Statistics  
The nonparametric regression offers alternative to classical regression analysis when the data are not well behaved or when the classical regression model shows significant lack of fit. In recent years, It has been applied using Kernel estimators and the smoothing splines, but these methods wields some bias of estimation. In this study, a semi-parametric multiplicative bias reduction density function was used to develop a non parametric regression model. Simulation studies conducted showed that
more » ... the proposed estimator performs better than both the Kernel and the smoothing splines estimators especially with large samples
doi:10.16929/ajas/2020.993.252 fatcat:vrypx7nizneahgvk5m2eahyhyi