The complex normal law and the admissibility of the sample mean as an estimator of a location parameter
Teoriâ veroâtnostej i ee primeneniâ, Tome 12 (1967) no. 4, pp. 762-764
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It is proved that the sample mean is an admissible unbiased estimator of a complex location parameter if and only if the population distribution function is a complex normal one.
@article{TVP_1967_12_4_a16,
author = {A. L. Rukhin},
title = {The complex normal law and the admissibility of the sample mean as an estimator of a~location parameter},
journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
pages = {762--764},
year = {1967},
volume = {12},
number = {4},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TVP_1967_12_4_a16/}
}
TY - JOUR AU - A. L. Rukhin TI - The complex normal law and the admissibility of the sample mean as an estimator of a location parameter JO - Teoriâ veroâtnostej i ee primeneniâ PY - 1967 SP - 762 EP - 764 VL - 12 IS - 4 UR - http://geodesic.mathdoc.fr/item/TVP_1967_12_4_a16/ LA - ru ID - TVP_1967_12_4_a16 ER -
A. L. Rukhin. The complex normal law and the admissibility of the sample mean as an estimator of a location parameter. Teoriâ veroâtnostej i ee primeneniâ, Tome 12 (1967) no. 4, pp. 762-764. http://geodesic.mathdoc.fr/item/TVP_1967_12_4_a16/