dc.contributor.author |
Koukouvinos, C |
en |
dc.contributor.author |
Stylianou, S |
en |
dc.date.accessioned |
2014-03-01T01:21:44Z |
|
dc.date.available |
2014-03-01T01:21:44Z |
|
dc.date.issued |
2005 |
en |
dc.identifier.issn |
0361-0918 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/16343 |
|
dc.subject |
Contrasts |
en |
dc.subject |
Effect sparsity |
en |
dc.subject |
Supersaturated designs |
en |
dc.subject.classification |
Statistics & Probability |
en |
dc.subject.other |
CONSTRUCTION |
en |
dc.subject.other |
FACTORIALS |
en |
dc.title |
A method for analyzing supersaturated designs |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1080/03610910500308271 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1080/03610910500308271 |
en |
heal.language |
English |
en |
heal.publicationDate |
2005 |
en |
heal.abstract |
Analyzing supersaturated designs is challenging because the number of experiments is less than the number of factors. In this article we propose a new contrasts based method to analyze supersaturated designs. The method is discussed and explained through some simulation examples. The performance of the method is evaluated using several known designs from the literature. |
en |
heal.publisher |
TAYLOR & FRANCIS INC |
en |
heal.journalName |
Communications in Statistics: Simulation and Computation |
en |
dc.identifier.doi |
10.1080/03610910500308271 |
en |
dc.identifier.isi |
ISI:000233882100008 |
en |
dc.identifier.volume |
34 |
en |
dc.identifier.issue |
4 |
en |
dc.identifier.spage |
929 |
en |
dc.identifier.epage |
937 |
en |