A modified Wilcoxon rank sum test for paired data
A modified Wilcoxon rank sum test for paired data
复制标题
配对数据的改进 Wilcoxon 秩和检验
DOI：
10.1093/biomet/70.2.510
复制
发表时间：
1983
期刊：
影响因子：
2.7
通讯作者：
M. Longnecker
中科院分区：
文献类型：
--
作者：
F. Lam;M. Longnecker
摘要本文提出了一个Wilcoxon秩和统计量的函数，用于检验从二元总体中抽样时边际分布的相等性。检验统计量是渐近非参数的。比较检验统计量和几个参数和非参数检验的皮特曼相对效率和小样本性能。当从二元正态分布中采样时，检验统计量的功效与配对t检验相当，并且在几种重要情况下具有更大的功效。
SUMMARY A function of the Wilcoxon rank sum statistic is proposed for testing the equality of the marginal distributions when sampling from a bivariate population. The test statistic is asymptotically nonparametric. A comparison is made between the test statistic and several parametric and nonparametric tests in terms of their Pitman relative efficiency and small-sample performance. The test statistic has power comparable to the paired t test when sampling from the bivariate normal distribution and greater power in several important cases.