New Nonparametric Rank-Based Tests for Paired Data

• 作者: Guogen Shan
• 来源期刊: 统计学期刊(英文)
• 学科: 医学
• 关键词: BWS TEST NONPARAMETRIC TEST Paired DATA Power Study RANK DIFFERENCE Wilcoxon SIGNED RANK TEST
• 年，卷（期）: 2014,（7）
• 页码范围: 495-503
• 页数: 9页
• 分类号: R73

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.