An Adaptive Generalized M-Ridge Estimator with Bounded Influence for Contaminated Multicollinear Data
Linear regression estimation can be adversely affected by multicollinearity and outliers in both the response and predictor variables. Ridge regression addresses multicollinearity but remains sensitive to outliers, whereas robust M-estimation reduces the influence of response outliers without directly addressing multic...