Nonparametric multiple testing procedures

被引:2
|
作者
Cohen, Arthur [1 ]
Ma, Yingqiu [1 ]
Sackrowitz, Harold [1 ]
机构
[1] Rutgers State Univ, Dept Stat & Biostat, Piscataway, NJ 08854 USA
关键词
Interval property; Permutation tests; Rank sum interval; Rank tests; Treatment vs. control;
D O I
10.1016/j.jspi.2013.05.007
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
Assume that we have ni independent observations from each of k independent populations. Each population has the same distribution except for a translation parameter. We are interested in specific pairwise differences of the parameters in various settings, such as treatment vs. control, change point or all pairwise differences. We propose new multiple testing procedures for the pairwise differences. The new procedures are based on ranks and they have desirable practical properties not shared by existing procedures. These include tests that satisfy the interval property. Furthermore, the test method provides an interval that serves as an estimate of the difference in the parameters of interest. (C) 2013 Published by Elsevier B.V.
引用
收藏
页码:1753 / 1765
页数:13
相关论文
共 50 条