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A method for analyzing supersaturated designs with a block orthogonal structure

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dc.contributor.author Koukouvinos, C en
dc.contributor.author Mylona, K en
dc.date.accessioned 2014-03-01T01:27:42Z
dc.date.available 2014-03-01T01:27:42Z
dc.date.issued 2008 en
dc.identifier.issn 0361-0918 en
dc.identifier.uri http://hdl.handle.net/123456789/18546
dc.subject Data analysis en
dc.subject Penalized least squares en
dc.subject Supersaturated design en
dc.subject.classification Statistics & Probability en
dc.subject.other VARIABLE-SELECTION en
dc.subject.other CONSTRUCTION en
dc.subject.other STRATEGY en
dc.subject.other LASSO en
dc.title A method for analyzing supersaturated designs with a block orthogonal structure en
heal.type journalArticle en
heal.identifier.primary 10.1080/03610910701790376 en
heal.identifier.secondary http://dx.doi.org/10.1080/03610910701790376 en
heal.language English en
heal.publicationDate 2008 en
heal.abstract Supersaturated designs is a large class of factorial designs which can be used for screening out the important factors from a large set of potentially active variables. The huge advantage of these designs is that they reduce the experimental cost drastically, but their critical disadvantage is the confounding involved in the statistical analysis. In this article, we propose a method for analyzing data using a specific type of supersaturated designs. This method heavily uses the special block orthogonal structure of the supersaturated designs given by Tang and Wu (1997). Also, we compare our method with several known statistical analysis methods by using some of the existing supersaturated designs. The comparison is performed by some simulating experiments and the Type I and Type II error rates are calculated. The results are presented in tables and the discussion to follow. en
heal.publisher TAYLOR & FRANCIS INC en
heal.journalName Communications in Statistics: Simulation and Computation en
dc.identifier.doi 10.1080/03610910701790376 en
dc.identifier.isi ISI:000256386400004 en
dc.identifier.volume 37 en
dc.identifier.issue 2 en
dc.identifier.spage 290 en
dc.identifier.epage 300 en


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