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Contains a review of 50 years of results on questions of admissibility and minimaxity of estimators of parameters that are restricted to closed convex subsets of Rk. This book gives an overview of known algorithms for computing maximum likelihood estimators under order-restrictions. It is intended for researchers and graduate students.