dc.contributor.author |
Koukouvinos, C |
en |
dc.contributor.author |
Stylianou, S |
en |
dc.date.accessioned |
2014-03-01T01:24:42Z |
|
dc.date.available |
2014-03-01T01:24:42Z |
|
dc.date.issued |
2006 |
en |
dc.identifier.issn |
0378-3758 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/17409 |
|
dc.subject |
Construction |
en |
dc.subject |
Edge design |
en |
dc.subject |
Screening experiment |
en |
dc.subject |
Weighing matrix |
en |
dc.subject.classification |
Statistics & Probability |
en |
dc.subject.other |
FACTORIALS |
en |
dc.title |
New classes of D-optimal edge designs |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.jspi.2004.06.003 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.jspi.2004.06.003 |
en |
heal.language |
English |
en |
heal.publicationDate |
2006 |
en |
heal.abstract |
Edge designs are screening experimental designs that allow a model-independent estimate of the set of relevant variables, thus providing more robustness than traditional designs. In this paper we construct new classes of D-optimal edge designs. This construction uses weighing matrices of order n and weight k together with permutation matrices of order n to obtain D-optimal edge designs. One linear and one quadratic simulated screening scenarios are studied and compared using linear regression and edge designs analysis. (c) 2004 Elsevier B.V. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Journal of Statistical Planning and Inference |
en |
dc.identifier.doi |
10.1016/j.jspi.2004.06.003 |
en |
dc.identifier.isi |
ISI:000232753700017 |
en |
dc.identifier.volume |
136 |
en |
dc.identifier.issue |
1 |
en |
dc.identifier.spage |
248 |
en |
dc.identifier.epage |
259 |
en |