A Suggested Biased Estimator for Correcting Multicollinearity in Multinomial Logistic Regression

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

Estimation methods of logistic regression in context of multicollinearity (Comparative study)

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

Modified Ridge Logistic Estimator Based on Singular Value Decomposition

A New Method for Generating the Design Matrix of a Linear Regression Model

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

Another Look at Partitioned Ridge Regression Estimators

Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test

Treating Multicollinearity Problem Using Gool Programming Technique