使用部分配对和未配对数据比较两种方法

IF 1 Q3 Mathematics
N. Uddin, M. Hasan
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引用次数: 0

摘要

提出了一种新的检验统计量,用于检验数据部分成对和部分不成对时两个正态均值是否相等。检验统计量是基于成对和非成对样本均值差异的线性组合。使用t分布作为近似零分布,根据文献中已知的一些其他标准方法对所提出的方法进行了评估。对于方差相等的正态分布和逻辑分布的样本,所提出的方法似乎比其他方法在功率方面表现得更好,同时保持I型错误率非常有竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing Two Means Using Partially Paired and Unpaired Data
A new test statistic is proposed to test the equality of two normal means when the data is partially paired and partially unpaired. The test statistic is based on a linear combination of the differences of both paired and unpaired sample means. Using t-distribution as the approximate null distribution, the proposed method is evaluated against some other standard methods known in the literature. For samples from normal and logistic distributions with equal variances, the proposed method appears to perform better than other methods with respect to power while keeping the type I error rates very competitive.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
13 weeks
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