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 |
本文献已被 ScienceDirect 等数据库收录! |