One-Sided two-sample and trend tests based on a modified baumgartner-weiss-schindler statistic

One-Sided two-sample and trend tests based on a modified baumgartner-weiss-schindler statistic
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基于修正的 baumgartner-weiss-schindler 统计量的单侧双样本和趋势检验

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发表时间:
2001
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影响因子:
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通讯作者:
M. Neuhäuser
M. Neuhäuser
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作者:
M. Neuhäuser

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Baumgartner、Weiß 和 Schindler 最近提出的非参数双样本检验 [1] 不适用于单尾分析。我们建议对原始 Baumgartner-Weiß-Schmdler 统计量进行修改,以实现单方面检验。基于新修改统计量的检验的保守性较小,并且根据模拟结果,比单侧 Wilcoxon-Mann-Whitney 检验更有效。利用修改后的统计量,可以构建 Jonckheere 型趋势检验。模拟研究表明,这种新的趋势检验优于常用的 Jonckheere-Terpstra 检验。此外,基于修改后的统计量的新检验在异方差的情况下也很有效。对于所有测试,都使用精确的排列分布进行推理
The nonparametric two-sample test recently proposed by Baumgartner,Weiß,and Schindler [1] is not suitable for one-tailed analyses. We propose a modification of the original Baumgartner-Weiß-Schmdler statistic which enables one-sided tests. The test based on the new modified statistic has a less conservative size and is, according to simulation results, more powerful than the one-sided Wilcoxon-Mann-Whitney test. With the modified statistic a Jonckheere-type trend test can be constructed. Simulation studies indicate that this new trend test is superior to the often employed Jonckheere-Terpstra test. Furthermore, the new tests based on the modified statistic are also powerful in case of heteroscedasticity. For all tests the exact permutation distribution was used for inference
比较两种测试,在治疗预计会增加相对于对照的变异性的情况下有用。
DOI: 10.1002/sim.4780122308
发表时间: 1993
影响因子: 2
作者:
Blair,RC;Sawilowsky,S
通讯作者: Sawilowsky,S