A Monte Carlo Simulation of the Robust Rank-Order Test Under Various Population Symmetry Conditions

被引：2

作者：

Mickelson, William T. ^{[1
]}

机构：

[1] Univ Wisconsin Whitewater, Whitewater, WI 53190 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2013年 / 12卷 / 01期

关键词：

Robustness; hypothesis testing; Monte Carlo;

D O I：

10.22237/jmasm/1367381160

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：

The Type I Error Rate of the Robust Rank Order test under various population symmetry conditions is explored through Monte Carlo simulation. Findings indicate the test has difficulty controlling Type I error under generalized Behrens-Fisher conditions for moderately sized samples.

引用

页码：21 / 33

页数：13

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