文章基本信息

标题：New Nonparametric Rank-Based Tests for Paired Data
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作者：Guogen Shan
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2014
卷号：04
期号：07
页码：495-503
DOI：10.4236/ojs.2014.47047
语种：English
出版社：Scientific Research Publishing
摘要：We propose a new nonparametric test based on the rank difference between the paired sample for testing the equality of the marginal distributions from a bivariate distribution. We also consider a modification of the novel nonparametric test based on the test proposed by Baumgartern, Weiβ, and Schindler (1998). An extensive numerical power comparison for various parametric and nonparametric tests was conducted under a wide range of bivariate distributions for small sample sizes. The two new nonparametric tests have comparable power to the paired t test for the data simulated from bivariate normal distributions, and are generally more powerful than the paired t test and other commonly used nonparametric tests in several important bivariate distributions.
关键词：BWS Test; Nonparametric Test; Paired Data; Power Study; Rank Difference; Wilcoxon Signed Rank Test