A New Estimator to Combat Multicollinearity in Logistic Regression Model

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

.Efficiency of regression models in the presences of outliers

A new Method to Estimate the Parameters of Quadratic Regression

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

A Suggested Biased Estimator for Correcting Multicollinearity in Multinomial Logistic Regression

An Approximation for The Censored Values In Linear Regression Models

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

Bayesian Estimation of a Linear Functional Relationship

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