Robustness without rank order statistics

被引：5

作者：

Mielke, Paul W., Jr. ^{[2
]}

Berry, Kenneth J. ^{[1
]}

Johnston, Janis E. ^{[3
]}

机构：

[1] Colorado State Univ, Dept Sociol, Ft Collins, CO 80523 USA

[2] Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA

[3] US EPA, Natl Homeland Secur Res Ctr, Washington, DC 20460 USA

来源：

JOURNAL OF APPLIED STATISTICS | 2011年 / 38卷 / 01期

关键词：

analysis space; Euclidean distance; rank-order statistics; robustness; PERMUTATION TESTS; ASSOCIATION; COEFFICIENT; SAMPLES;

D O I：

10.1080/02664760903406439

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：

An alternative to conventional rank tests based on a Euclidean distance analysis space is described. Comparisons based on exact probability values among classical two-sample t-tests and the Wilcoxon-Mann-Whitney test illustrate the advantages of the Euclidean distance analysis space alternative.

引用

页码：207 / 214

页数：8

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