双样本问题的最大型baumgartner统计量及其功率比较

H. Murakami
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引用次数: 0

摘要

本文主要研究单变量双样本Baumgartner统计量,并对尺度偏移参数的B统计量进行了修正。采用基于Baumgartner统计量的非参数秩检验来检验位置、规模和位置-规模参数。评估检验统计量的临界值;在零假设下导出了极限分布。我们通过模拟研究调查了所提出的统计数据的有效性。模拟结果表明,在对称分布下,当样本量相等时,对于偏移的尺度参数,B2统计量优于B1统计量。当样本量不相等时,这两个统计量之间的差异很小。B2统计量比其他非参数统计量更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A MAX-TYPE BAUMGARTNER STATISTIC FOR THE TWO-SAMPLE PROBLEM AND ITS POWER COMPARISON
In this paper, we focus on the univariate two-sample Baumgartner statistic and propose a modification of the B statistic for the shifted-scale parameter. A nonparametric rank test based on the Baumgartner statistic was used to test location, scale, and location-scale parameters. Critical values of the test statistics were evaluated; limiting distributions were derived under the null hypothesis. We investigated the power of the proposed statistics by simulation studies. The results of our simulations indicated that the B2 statistic was superior to the B1 statistic for the shifted scale parameters when the sample sizes were equal under symmetric distributions. The differences between these two statistics were small when the sample sizes were unequal. The B2 statistic is more efficient than other nonparametric statistics.
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