A New Two-Parameter Estimator in Linear Regression

  title={A New Two-Parameter Estimator in Linear Regression},
  author={Hu Cheng Yang and Xinfeng Chang},
This article is concerned with the parameter estimation in linear regression model. To overcome the multicollinearity problem, a new two-parameter estimator is proposed. This new estimator is a general estimator which includes the ordinary least squares (OLS) estimator, the ridge regression (RR) estimator, and the Liu estimator as special cases. Necessary and sufficient conditions for the superiority of the new estimator over the OLS, RR, Liu estimators, and the two-parameter estimator proposed… CONTINUE READING