Wilcoxon和Mood统计组合分布的近似:数值比较

H. Murakami
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引用次数: 2

摘要

在检验双样本问题中的假设时,通常使用lepage型统计量来检验位置和尺度参数。多年来,许多作者提出并讨论了各种lepage类型的统计。最著名和最强大的lepage型统计之一是Wilcoxon和Mood统计的组合,即T。当样本量增加时,很难得到T统计量的确切临界值。在这种情况下,检验统计量的分布函数的近似值在统计学中是极其重要的。利用伽玛近似和鞍点近似来计算有限样本量下T统计量的上尾概率。研究了T统计量精确概率的各种近似值的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approximations to the distribution of a combination of the Wilcoxon and Mood statistics: A numerical comparison
On testing hypotheses in two-sample problems, the Lepage-type statistic is often used for testing the location and scale parameters. Various Lepage-type statistics have been proposed and discussed by many authors over the course of many years. One of the most famous and powerful Lepage-type statistics is a combination of the Wilcoxon and Mood statistics, namely T . Deriving the exact critical value of the T statistic is difficult when the sample sizes are increased. In that situation, an approximation to the distribution function of a test statistic is extremely important in statistics. The gamma approximation and the saddlepoint approximations are used to evaluate in upper tail probability for the T statistic under finite sample sizes. The accuracy of various approximations to the exact probability of the T statistic is investigated.
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