A Suggested Biased Estimator for Correcting Multicollinearity in Multinomial Logistic Regression

A Comparative Study of Some Two –Parameter Ridge-Type and Liu-Type Estimators to Combat Multicollinearity Problem in Regression Models: Simulation and Application

Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation

A New Estimator to Combat Multicollinearity in Logistic Regression Model

Some Alternative Techniques for Improvements over Ordinary Least Squares: An Application of Biased Regression Estimators

Estimating the Linear Regression Model in High-Dimensional Data and collinearity

Beta restricted regression estimators: Simulation and application

Two Stage Robust Dawoud – Kibria Estimator for Handling multicollinearity and outliers in the linear Regression model.

A New Approach for Model Selection with Two Qualitative Regressors

On the Modified Almost Unbiased Ridge Estimator in Linear Regression Model