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.
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页码：925 / 937
页数：13
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