Abstract
In this paper the problem of estimating a power of the parameler under normalized squared error is shown that under the presence of Type 1 censoring a trivial estimator not depending on the sample can be both minimax and admissible. This contrasts with the case of a Type II censoring model where this anomaly does not occur. Some possible treatments of the problem are discussed
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