Abstract
Epi-consistency technique is explained and applied to restricted estimation problems with convex fitting functions and with restrictions in the form of union of finite number of convex closed sets. As a special case, least squares. L 1 and Huber's estimates of location parameters in the k-sample problem are treated in detail for the case of umbrella hypothesis both for the true and misspecified model.
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