Estimation of the eigenvalues of the scale matrix of a class of elliptical distributions

Abstract

The simultaneous estimation of the eigenvalues of the scale matrix of a class of elliptical distributions is considered. An improved estimation strategy is developed in the light of a quadratic loss function. It is demonstrated analytically that the class of proposed estimators outperforms the class of usual estimators in the sense of having smaller risk.