Modified Generalized Stein Estimator of Regression Coefficients

Abstract

This paper studies a class of shrinkage estimators of the vector of regression coefficients. The small disturbance approximate expressions for the bias and the mean squared error of the estimator are obtained. In the sense of mean squared error, these estimators dominate the least squares estimator and the generalized Stein estimator developed by Hosmane (1988).