Abstract
Let the parameter vector of the ordinary linear re-gression model be constrained to a given ellipsoid. Incorporating this kind of prior information into the estimation procedure, we obtain a sequence of approxi-mate minimax estimators. It can be shown that a cluster point of this sequence is an exact minimax estimator. In a simulation study this minimax estimator is com-pared with the least squares estimator and some other competing estimators.
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