Review of Classical Methods in Supersaturated Designs (SSD) for Factor Screening

dc.contributor.authorSalau, I. S.
dc.contributor.authorAdeleke, B. L.
dc.contributor.authorOyeyemi, G. M.
dc.date.accessioned2023-07-27T08:38:32Z
dc.date.available2023-07-27T08:38:32Z
dc.date.issued2015
dc.description.abstractSupersaturated designs are fractional factorial designs that have too few runs to allow the estimation of the main effects of all the factors in the experiment. There has been a great deal of interest in the development of these designs for factor screening in recent years. A review of supersaturated design is presented, including criteria for design selection, with reference to the popular E(s2) criterion and classical methods for constructing supersaturated designs. Classical methods have been suggested for the analysis of data from supersaturated designs and these are critically reviewed and illustrated.en_US
dc.description.sponsorshipSelf sponsoreden_US
dc.identifier.citationMathematical Theory and Modelingen_US
dc.identifier.issn2225 - 0522
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11609
dc.language.isoenen_US
dc.publisherThe International Institute for Science, Technology and Education (IISTE)en_US
dc.relation.ispartofseries5(5);38 - 44
dc.subjectSupersaturated, Classical method, Screening, Fractional Factorial and E(s2)en_US
dc.titleReview of Classical Methods in Supersaturated Designs (SSD) for Factor Screeningen_US
dc.typeArticleen_US

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