Modified Robust M-approach to estimate the parameters of linear Regression model

The idea of this research is to find construction Weighted Robust for the estimate parameters of the linear regression model by blend Robust M- approach and Weighted Least Squares method to handle the influence of Outlier Values, which don't harmonies with the system of data set, in order to get new estimators, The mean square error criterion is used to check the efficiency of the new method with OLS , WLS and Robust M-estimators.