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Inference about permutation parameter in large samples
Authors:Andrew L. Rukhin
Affiliation:Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
Abstract:
The estimation problem of a permutation parameter on the basis of a random sample of increasing size is considered. A necessary and sufficient condition for the existence of an estimator, asymptotically fully efficient for two different distributions families, is derived. We also study the application of this result to cyclic groups of order two and three.
Keywords:62F10  62F12  62A05  62B10  94B70  Permutation parameter  Asymptotic efficiency  Adaptive estimators  Maximum likelihood estimator  Equivariant estimator  Deciphering
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