A New Estimator to Combat Multicollinearity in Logistic Regression Model

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

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

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

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

A Minimum Logit Chi-Squared Estimator for Asymmetric Generalizations of the Logistic Model

Inference in Linear Models with Nonstochastic Biased Factors

Modified Ridge Logistic Estimator Based on Singular Value Decomposition

Discriminant Analysis for Correlated Data