Superiority comparisons between mixed regression estimators

Abstract

This paper gives necessary and sufficient conditions for a mixed regression estimator to be superior to another mixed estimator. The comparisons are based on the mean square error matrices of the estimators. Both estimators are allowed to be biased.

Keywords:

• biased estimation
• linear model
• mean square error matrix
• prior information
• restricted least squares