UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATION FOR SYMMETRICAL NORMAL-DISTRIBUTIONS

被引：1
|
作者：
YAMATO, H
机构：
[1] Kagoshima University, Kagoshima
来源：
JOURNAL OF MULTIVARIATE ANALYSIS | 1990年 / 34卷 / 02期
关键词：
covariance; mean; symmetric normal distibution; UMVU estimator; variance;
D O I：
10.1016/0047-259X(90)90037-I
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We give uniformly minimum variance unbiased estimators of a mean, a variance, and a covariance for a symmetric normal distribution which is a multivariate normal distribution with equal means, equal variances, and equal covariances. The properties of the estimators are discussed. © 1990.
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页码：227 / 237
页数：11
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