Run orders for efficient two level experimental plans with minimum factor level changes robust to time trends

Angelopoulos, P; Evangelaras, H; Koukouvinos, C

dc.contributor.author	Angelopoulos, P	en
dc.contributor.author	Evangelaras, H	en
dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:31:49Z
dc.date.available	2014-03-01T01:31:49Z
dc.date.issued	2009	en
dc.identifier.issn	0378-3758	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19945
dc.subject	Nonregular factorial	en
dc.subject	Orthogonal arrays	en
dc.subject	Run order	en
dc.subject	Time trend	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	DESIGNS	en
dc.title	Run orders for efficient two level experimental plans with minimum factor level changes robust to time trends	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jspi.2009.05.002	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jspi.2009.05.002	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	In this paper we construct run orders of orthogonal arrays with 12 <= n <= 28 runs and 4 <= q <= 6 factors that minimize the number of level changes of each factor. The corresponding orthogonal arrays can estimate a model with all main effects and their two factor interactions with the highest efficiency and also provide estimates of all main effects that are independent of linear and quadratic time (or position) trends. Some alternative efficient run orders are also presented when the estimation of two factor interactions is of experimental interest. (C) 2009 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.2009.05.002	en
dc.identifier.isi	ISI:000268703700031	en
dc.identifier.volume	139	en
dc.identifier.issue	10	en
dc.identifier.spage	3718	en
dc.identifier.epage	3724	en