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A note on inferences about the median of the distribution of difference scores

机译:关于差异分数分布中位数推断的说明

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For two random variables, X and Y, let D=X- Y, and let theta(x), theta(y), and theta(d), be the corresponding medians. It is known that the Wilcoxon-Mann-Whitney test and its modern extensions do not test H-0 : theta(x) = theta(y), but rather, they test H-0 : theta(d) = 0. The article deals with an extension of these methods to dependent groups, so the goal is not to make inferences about the median of the pairwise differences or even the median of the marginal distributions. Rather, if an individual is randomly sampled from the first group and another individual is randomly sampled from the second group, the goal is to make inferences about the median value of the typical difference. The goal is not to suggest that alternative methods be abandoned but rather to provide a perspective on how dependent groups compare that it is similar in spirit to the perspective provided by the Wilcoxon-Mann-Whitney test.
机译:对于两个随机变量X和Y,令D = X- Y,并且让theta(x),theta(y)和theta(d)为相应的中值。众所周知,Wilcoxon-Mann-Whitney检验及其现代扩展不检验H-0:theta(x)= theta(y),而是检验H-0:theta(d)= 0。这些方法将扩展方法扩展到相关组,因此目标不是推断成对差异的中位数甚至是边际分布的中位数。相反,如果从第一组中随机抽样一个人,而从第二组中随机抽样另一个人,则目标是推断典型差的中位数。目的不是要建议放弃替代方法,而是要提供一个视角,说明依赖群体如何比较其精神上与威尔科克森·曼·惠特尼检验所提供的观点相似。

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