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dc.contributor.authorShieh, Gen_US
dc.contributor.authorJan, SLen_US
dc.contributor.authorRandles, RHen_US
dc.date.accessioned2014-12-08T15:17:42Z-
dc.date.available2014-12-08T15:17:42Z-
dc.date.issued2006-01-01en_US
dc.identifier.issn1048-5252en_US
dc.identifier.urihttp://dx.doi.org/10.1080/10485250500473099en_US
dc.identifier.urihttp://hdl.handle.net/11536/12849-
dc.description.abstractThis article considers power and sample size calculations for the Wilcoxon-Mann-Whitney test. An exact variance large-sample method is introduced and explicit formulas are derived for the uniform, normal, double exponential and exponential shift models. A Monte Carlo Simulation Study is conducted to evaluate the exact variance procedure and compare its performance with some other large sample methods. The results show the remarkable accuracy of the suggested formula and the fundamental limitations of the other approximations. Practical considerations in determination of sample size for the two-sample location problem are also discussed.en_US
dc.language.isoen_USen_US
dc.subjectlarge-sample approximationen_US
dc.subjectnonparametric methoden_US
dc.subjecttwo-sample location problemen_US
dc.titleOn power and sample size determinations for the Wilcoxon-Mann-Whitney testen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/10485250500473099en_US
dc.identifier.journalJOURNAL OF NONPARAMETRIC STATISTICSen_US
dc.citation.volume18en_US
dc.citation.issue1en_US
dc.citation.spage33en_US
dc.citation.epage43en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000237022400004-
dc.citation.woscount5-
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