Analysis of a supersaturated design using Entropy Prior Complexity for binary responses via generalized linear models

Balakrishnan, N; Koukouvinos, C; Parpoula, C

dc.contributor.author	Balakrishnan, N	en
dc.contributor.author	Koukouvinos, C	en
dc.contributor.author	Parpoula, C	en
dc.date.accessioned	2014-03-01T02:07:38Z
dc.date.available	2014-03-01T02:07:38Z
dc.date.issued	2012	en
dc.identifier.issn	15723127	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29603
dc.subject	Entropy	en
dc.subject	Generalized linear models	en
dc.subject	Model complexity	en
dc.subject	Prior information	en
dc.subject	Screening	en
dc.subject	Supersaturated design	en
dc.title	Analysis of a supersaturated design using Entropy Prior Complexity for binary responses via generalized linear models	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.stamet.2011.10.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.stamet.2011.10.005	en
heal.publicationDate	2012	en
heal.abstract	A supersaturated design is a factorial design in which the number of effects to be estimated is greater than the available number of experimental runs. It is used in many experiments for screening purposes, i.e., for studying a large number of factors and then identifying the active ones. The goal with such a design is to identify just a few of the factors under consideration, that have dominant effects and to do this at minimum cost. While most of the literature on supersaturated designs has focused on the construction of designs and their optimality, the data analysis of such designs remains still at an early stage. In this paper, we incorporate the parameter model complexity into the supersaturated design analysis process, by assuming generalized linear models for a Bernoulli response, for analyzing main effects designs and discovering simultaneously the effects that are significant. © 2012 Elsevier B.V.	en
heal.journalName	Statistical Methodology	en
dc.identifier.doi	10.1016/j.stamet.2011.10.005	en
dc.identifier.volume	9	en
dc.identifier.issue	4	en
dc.identifier.spage	478	en
dc.identifier.epage	485	en