Some slippage tests of mean for a single outlier in multivariate normal data

被引：0
|
作者：
Srivastava, MS
机构：
来源：
AMERICAN JOURNAL OF MATHEMATICAL AND MANAGEMENT SCIENCES, VOL 17, NOS 1 AND 2, 1997: MULTIVARIATE STATISTICAL INFERENCE - MSI-2000L MULTIVARIATE STATISTICAL ANALYSIS IN HONOR OF PROFESSOR MINORU SIOTANI ON HIS 70TH BIRTHDAY | 1997年 / 17卷 / 1&2期
关键词：
admissibility; Bonferroni bound; likelihood ratio test; slippage problem;
D O I：
暂无
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：
In this paper, the likelihood ratio test for detecting a single outlier in the mean of a set of k independently normally distributed random vectors is considered. Lower and upper Bonferroni's bounds are used to obtain the percentage points. A related problem known as a slippage problem in the literature is also considered and the admissibility of the decision rule is shown.
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页码：117 / 145
页数：29
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