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A New Efficient Redescending M-Estimator for Robust Fitting of Linear Regression Models in the Presence of Outliers
Robust regression is an important iterative procedure that seeks analyzing data sets that are contaminated with outliers and unusual observations and reducing their impact over regression coefficients. Robust estimation methods have been introduced to deal with the problem of outliers and provide efficient and stable estimates in their presence. Various …