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dc.contributor.authorAuer, Corinnade
dc.contributor.authorKunert, Joachimde
dc.date.accessioned2004-12-06T18:39:15Z-
dc.date.available2004-12-06T18:39:15Z-
dc.date.issued2004de
dc.identifier.urihttp://hdl.handle.net/2003/4897-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-7029-
dc.description.abstractThe paper deals with a method for the analysis of highly fractionated factorial designs proposed by Raghavarao and Altan (2003). We show that the method will find "active" factors with almost any set of random numbers. Once that an alias set is found active, Raghavarao and Altan (2003) claim that their method can resolve the alias structure of the design and identify which of several confounded effects is active. We show that their method cannot do that. The error in Raghavarao and Altan's (2003) arguments lies in the fact that they treat a set of highly dependent (sometimes even identical) F-statistics as if they were independent.en
dc.format.extent89743 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectfractional factorial designsen
dc.subjecthalf-normal ploten
dc.subjectheuristic argumentsen
dc.subjectactive effectsen
dc.subjectalias seten
dc.subject.ddc310de
dc.titleOn a heuristic analysis of highly fractionated 2 n factorial experimentsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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