On a heuristic analysis of highly fractionated 2 n factorial experiments

dc.contributor.author	Auer, Corinna	de
dc.contributor.author	Kunert, Joachim	de
dc.date.accessioned	2004-12-06T18:39:15Z
dc.date.available	2004-12-06T18:39:15Z
dc.date.issued	2004	de
dc.description.abstract	The 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.extent	89743 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/4897
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-7029
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	fractional factorial designs	en
dc.subject	half-normal plot	en
dc.subject	heuristic arguments	en
dc.subject	active effects	en
dc.subject	alias set	en
dc.subject.ddc	310	de
dc.title	On a heuristic analysis of highly fractionated 2 n factorial experiments	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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