I read from the text on multi-variate analysis, both Robust Least Squares(M-estimation, E-estimation and MM-estimation) and Quantile Regression are used to control the influence of outliers.
can anybody let me know what is the intuitive difference between Robust Least Squares regression and Quantile Regression.
please describe in simple and non-technical language.
thanks in advance