Maximum estimation capacity projection designs from Hadamard matrices with 32, 36 and 40 runs

Angelopoulos, P; Koukouvinos, C

dc.contributor.author	Angelopoulos, P	en
dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:26:34Z
dc.date.available	2014-03-01T01:26:34Z
dc.date.issued	2007	en
dc.identifier.issn	0167-7152	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18142
dc.subject	D-efficiency	en
dc.subject	Estimation capacity	en
dc.subject	Factorial designs	en
dc.subject	Generalized aberration	en
dc.subject	Hadamard matrices	en
dc.subject	Inequivalent projections	en
dc.subject	Non-regular designs	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	MINIMUM ABERRATION	en
dc.subject.other	FACTORIAL-DESIGNS	en
dc.title	Maximum estimation capacity projection designs from Hadamard matrices with 32, 36 and 40 runs	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.spl.2006.07.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.spl.2006.07.005	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	An important problem in experimental procedures is the selection of the appropriate design. A design with generalized minimum aberration (GMA) is often considered the best. However, other designs might suit better practical needs. especially when two factor interactions (2fis) are of interest. Here we find all the inequivalent projection designs from Hadamard matrices of order 32, 36 and 40 into q = 3,4, 5 factors and order 32 into 6 factors and we study them according to their ability to estimate as many 2fis as possible with the greatest efficiency. We also present the maximum estimation capacity (EC) designs when considering 2 and 3 factor interactions. Furthermore, we give the best GMA designs and examine their connection with those having maximum EC. (c) 2006 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Statistics and Probability Letters	en
dc.identifier.doi	10.1016/j.spl.2006.07.005	en
dc.identifier.isi	ISI:000243860300016	en
dc.identifier.volume	77	en
dc.identifier.issue	2	en
dc.identifier.spage	220	en
dc.identifier.epage	229	en