Determine the best nucleus of a preliminary immune to estimate the slope of a specimen not teachers style

Abstract

Nonparametric regression technique represents a different way in regression analysis of parametric regression technique, but it does not mean that the use of one method prevent the use of the other. The methods of nonparametric regression can be used to assess the legality of supposed nonparametric model and vice versa, and matching the form of regression curve that we have it from nonparametric regression techniques may suggests the appropriate parametric regression model to be used in future studies. The research contains the use of Robust Kernel Smoothing to estimate a nonparametric regression model, in order to get that we depends on the results of a simulation study that described in experimental side. The comparison was made between the functions that were used in smoothing by using (MAE) and (MSE) criteria to reach the best estimator that represents the data that generated by simulation