A comparison of three-level orthogonal arrays in the presence of a possible correlation in observations

Kolaiti, E; Koukouvinos, C

dc.contributor.author	Kolaiti, E	en
dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:25:39Z
dc.date.available	2014-03-01T01:25:39Z
dc.date.issued	2007	en
dc.identifier.issn	0266-4763	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17705
dc.subject	Change of variance functions	en
dc.subject	Correlation in observations	en
dc.subject	Linear model	en
dc.subject	Optimal design	en
dc.subject	Orthogonal arrays	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	DESIGNS	en
dc.title	A comparison of three-level orthogonal arrays in the presence of a possible correlation in observations	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/02664760600995056	en
heal.identifier.secondary	http://dx.doi.org/10.1080/02664760600995056	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	When we want to compare two designs we usually assume the standard linear model with uncorrelated observations. In this paper we use the comparison method proposed by Ghosh & Shen (2006) to compare three level orthogonal arrays with 18, 27 and 36 runs under a possible presence of correlation in observations.	en
heal.publisher	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD	en
heal.journalName	Journal of Applied Statistics	en
dc.identifier.doi	10.1080/02664760600995056	en
dc.identifier.isi	ISI:000248204600004	en
dc.identifier.volume	34	en
dc.identifier.issue	2	en
dc.identifier.spage	167	en
dc.identifier.epage	175	en