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In the second edition of this work, details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models, and attention is given to the problem of assessing the goodness of an empirical Bayes estimator for a given set of prior data.
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Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question