A method for analyzing supersaturated designs with a block orthogonal structure

Koukouvinos, C; Mylona, K

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	https://dspace.lib.ntua.gr/xmlui/handle/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