文章基本信息

标题：Combining Paired and Two-Sample Data Using a Permutation Test
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作者：Richard L. Einsporn ; Desale Habtzghi
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2013
卷号：11
期号：4
页码：767-779
出版社：Tingmao Publish Company
摘要：This paper presents a permutation test for the incomplete pairssetting. This situation arises in both observational and experimental studieswhen some of the data are in the form of a paired sample and the rest ofthe data comprise two independent samples. The proposed method usesthe data from the two types of samples to test the dierence between themean responses. Our test statistic combines the observed mean dierencefor the complete pairs with the dierence between the two means of theindependent samples. The randomizations are carried out as is typicallydone with standard permutation tests for paired and independent samples.We show by a simulation study that our statistic performs well in comparisonto other methods.
关键词：Equality of means; incomplete pairs; paired t-test; permutation;test.