首页 | 本学科首页   官方微博 | 高级检索  
     


Nonparametric multiple testing procedures
Authors:Arthur Cohen  Yingqiu MaHarold Sackrowitz
Affiliation:Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, USA
Abstract: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.
Keywords:Interval property   Permutation tests   Rank sum interval   Rank tests   Treatment vs. control
本文献已被 ScienceDirect 等数据库收录!
正在获取相似文献,请稍候...
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号