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

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

A Comparison between Linear Regression – Lasso Quantile Regression Methods in Selecting Best Subset Variables

A new approach for variable selection in discriminant analysis

A New Approach for Variable Selection in Discriminant Analysis

SELECTION OF VARIABLES IN THE LINEAR REGRESSION WITH THE RESTRICTED RRQR ALGORITHM

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

Robust Estimation Methods in Random Intercept Model: A Comparative Study

A New Estimator to Combat Multicollinearity in Logistic Regression Model

A Strategy for the Selection of Regression Models with Two Qualitative Regressors