ON DISTRIBUTION-FREE MULTIPLE COMPARISONS IN THE ONE-WAY ANALYSIS OF VARIANCE

被引：222

作者：

CRITCHLOW, DE ^{[1
]}

FLIGNER, MA ^{[1
]}

机构：

[1] OHIO STATE UNIV,DEPT STAT,COLUMBUS,OH 43210

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1991年 / 20卷 / 01期

基金：

美国国家科学基金会;

关键词：

MULTIPLE COMPARISONS; NONPARAMETRIC STATISTICS; ONE-WAY ANALYSIS OF VARIANCE; PAIRWISE RANKINGS; SIMULTANEOUS CONFIDENCE INTERVALS;

D O I：

10.1080/03610929108830487

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：

Two methods are described for conducting distribution-free multiple comparisons of k > 2 populations. The Steel-Dwass method, based on pairwise rankings, possesses several desirable properties that are investigated. New large sample approximations are given, that are less conservative than those of the Bonferroni type suggested by Dunn (1964), and small sample tables for k = 3 populations are provided. Simultaneous confidence intervals are derived for all the pairwise location differences. Finally, an example illustrates the methodology.

引用

页码：127 / 139

页数：13

共 17 条

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