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

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

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

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

A new Method to Estimate the Parameters of Quadratic Regression

A new approach for variable selection in discriminant analysis

A New Approach for Variable Selection in Discriminant Analysis

Estimation of Simple Linear Regression Model Parameters Using Double Ranked Set Sampling

Review of Classical Methods and Variables Selection in Case of Multicollinearity: A Case Study with Real-Data

Stochastic and Deterministic Study of Ridge Regression