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New estimator dominates old, improving accuracy in multivariate data analysis.
The researchers improved the James-Stein estimator for estimating multivariate normal means using a balanced loss function. They introduced two classes of estimators, showing that one class dominates the usual estimator and the James-Stein estimator. This means that any estimator from this class is the best possible in terms of accuracy.