BOUNDS ON THE POWER OF LINEAR RANK-TESTS FOR SCALE-PARAMETERS

被引：6

作者：

WASSERSTEIN, RL

BOYER, JE

机构：

[1] KANSAS STATE UNIV AGR & APPL SCI,DEPT STAT,MANHATTAN,KS 66506

[2] KANSAS STATE UNIV AGR & APPL SCI,STAT LAB,MANHATTAN,KS 66506

来源：

AMERICAN STATISTICIAN | 1991年 / 45卷 / 01期

关键词：

ANSARI-BRADLEY TEST; FLIGNER-KILLEEN TEST; NONPARAMETRIC TESTS; SIEGEL-TUKEY TEST; SYMMETRICAL SCORE FUNCTIONS;

D O I：

10.2307/2685232

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 show that the power functions of a class of nonparametric tests for the equality of two scale parameters do not approach 1 as the ratio of the parameters approaches infinity. The class of tests, known as linear rank tests, is shown to have a fundamental flaw when applied to scale parameters, resulting in low power when the sample sizes are small.

引用

页码：10 / 13

页数：4

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