(2009). A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors. , 15(55), 153-166.
. "A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors". , 15, 55, 2009, 153-166.
(2009). 'A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors', , 15(55), pp. 153-166.
A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors. , 2009; 15(55): 153-166.

A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors

journal of Economics And Administrative Sciences/ University of baghdad
Article 1, Volume 15, Issue 55, 2009, Pages 153-166
Abstract
A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors, the Ordinary least Squares (LS) ,Ridge Regression, Ridge Least Absolute Value (RLAV), Weighted Ridge (WRID), MM and a robust ridge regression estimator MM estimator, which denoted as RMM this is the modification of the Ridge regression by incorporating robust MM estimator . finialy, we show that RMM is the best among the other estimators.
Keywords
A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non; normal errors
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