Simultaneously Addressing Collinearity and Outliers: A Robust Two-Parameter Estimation Approach
Multicollinearity and outliers remain two major challenges in linear regression modeling, often occurring simultaneously in practical applications and leading to instability, inflated variance, and unreliable inference. Although shrinkage estimators such as ridge and Liu estimators effectively address multicollinearity...