A non-parametric test for umbrella alternatives based on ranked-set sampling

被引：7

作者：

Magel, RC ^{[1
]}

Qin, L ^{[1
]}

机构：

[1] N Dakota State Univ, Dept Stat, Fargo, ND 58105 USA

来源：

JOURNAL OF APPLIED STATISTICS | 2003年 / 30卷 / 08期

关键词：

D O I：

10.1080/0266476032000075994

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：

A test is proposed that extends the Chen-Wolfe (1990) test for umbrella alternatives with an unknown peak to use with ranked-set samples data. This follows from ideas in Bohn & Wolfe (1992), Magel (1994), and Hartlaub & Wolfe (1999). Critical values are simulated for the proposed test based on ranked-set samples of size 2 for 3, 4 and 5 populations. A power study is conducted comparing the proposed test using ranked-set samples with the Chen-Wolfe and Mack-Wolfe tests using simple random samples. Results are given.

引用

页码：925 / 937

页数：13

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