Comparison of Several Tests for Combining Several Independent Tests

被引：2
|
作者：
Bhandary, Madhusudan [1 ]
Zhang, Xuan [2 ]
机构：
[1] Columbus State Univ, Dept Math, Columbus, GA 31907 USA
[2] Pracs Inst Ltd, Fargo, ND 58105 USA
来源：
JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2011年 / 10卷 / 02期
关键词：
Omnibus test; omnibus hypothesis; p-value; Kolmogorov-Smirnov test; Tippett's test; Wilkinson's test; Inverse Chi-square test; Inverse normal test; Logit test;
D O I：
10.22237/jmasm/1320120240
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：
Several tests for combining p-values from independent tests have been considered to address a particular common testing problem. A simulation study shows that Fisher's (1932) Inverse Chi-square test is optimal based on a power comparison of several different tests.
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页码：436 / 446
页数：11
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