Quasi minimax estimation in the linear regression model

Since the explicit determination of the minimax estimator in th elinear regression model usually is difficult we propose to minimize an upper bound of the maximal risk instead. The resulting estimator coincides with the minimax estimator when the weight matrix of the risk function has rank one. Specific attention is paid to additional equality restrictions