首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A Mann–Whitney type effect measure of interaction for factorial designs
Authors:Jan De Neve  Olivier Thas
Institution:1. Department of Data Analysis, Ghent University, Gent, Belgium;2. Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Gent, Belgium;3. National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, NSW, Australia
Abstract:We propose a measure for interaction for factorial designs that is formulated in terms of a probability similar to the effect size of the Mann–Whitney test. It is shown how asymptotic confidence intervals can be obtained for the effect size and how a statistical test can be constructed. We further show how the test is related to the test proposed by Bhapkar and Gore Sankhya A, 36:261–272 (1974)]. The results of a simulation study indicate that the test has good power properties and illustrate when the asymptotic approximations are adequate. The effect size is demonstrated on an example dataset.
Keywords:Factorial designs  interaction  probability of superiority  rank test  Wilcoxon–Mann–Whitney
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