In estimation of a matrix of regression coefficients in a multivariate linear regression model, this paper shows that minimax and shrinkage estimators under a normal distribution remain robust under an elliptically contoured distribution. The robustness of the improvement is established for both...

Also appeared in the University of Chicago series as Report 7322, Center for Mathematical Studies in Business and Economics, Department of Economics and Graduate School of Business, April 1973.