New redescending M-estimator offers robust outlier rejection in two dimensions.
Redescending M-estimators are compared to see which one is better at handling outliers in both x and y directions. The Anekwe redescending M-estimator is found to be more efficient and robust in dealing with outliers in two-dimensional space.