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dc.contributor.authorShieh, Gwowenen_US
dc.contributor.authorJan, Show-Lien_US
dc.contributor.authorRandles, Ronald H.en_US
dc.date.accessioned2014-12-08T15:14:58Z-
dc.date.available2014-12-08T15:14:58Z-
dc.date.issued2007en_US
dc.identifier.issn0094-9655en_US
dc.identifier.urihttp://hdl.handle.net/11536/11255-
dc.identifier.urihttp://dx.doi.org/10.1080/10629360600635245en_US
dc.description.abstractThe problem of calculating power and sample size for the Wilcoxon signed-rank test is discussed. The exact variance large-sample method is examined and explicit formulas are derived for observations from uniform, normal and Laplace distributions. Numerical results are presented to evaluate the exact variance procedure and compare its performance with two simplified approximations that have been suggested in the statistical literature. From the simulation results, it is evident that the exact variance approach is more accurate than the two approximate methods. To facilitate practical use, tabulated values of the estimated sample sizes are provided.en_US
dc.language.isoen_USen_US
dc.subjectlarge-sample approximationen_US
dc.subjectnonparametric methoden_US
dc.subjectone-sample location problemen_US
dc.titlePower and sample size determinations for theWilcoxon signed-rank testen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/10629360600635245en_US
dc.identifier.journalJOURNAL OF STATISTICAL COMPUTATION AND SIMULATIONen_US
dc.citation.volume77en_US
dc.citation.issue8en_US
dc.citation.spage717en_US
dc.citation.epage724en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000249549200007-
dc.citation.woscount3-
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