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• W2334608466 abstract "It is common to test the null hypothesis that two samples were drawn from identical distributions; and the Smirnov (sometimes called Kolmogorov–Smirnov) test is conventionally applied. We present simulation results to compare the performance of this test with three recently introduced alternatives. We consider both continuous and discrete data. We show that the alternative methods preserve type I error at the nominal level as well as the Smirnov test but offer superior power. We argue for the routine replacement of the Smirnov test with the modified Baumgartner test according to Murakami (2006) Murakami, H. (2006). A k-sample rank test based on a modified Baumgartner statistic and its power comparison. Journal of the Japanese Society of Computational Statistics 19:1–13.[Crossref] , [Google Scholar], or with the test proposed by Zhang (2006) Zhang, J. (2006). Powerful two-sample tests based on the likelihood ratio. Technometrics 48:95–103.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]." @default.
• W2334608466 created "2016-06-24" @default.
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• W2334608466 date "2016-10-27" @default.
• W2334608466 modified "2023-09-25" @default.
• W2334608466 title "Statistical tests for the comparison of two samples: The general alternative" @default.
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• W2334608466 doi "https://doi.org/10.1080/03610918.2014.983651" @default.
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