Orthogonal designs in linear models and sequences with zero autocorrelation

Koukouvinos, C

dc.contributor.author	Koukouvinos, C	en
dc.date.accessioned	2014-03-01T01:12:10Z
dc.date.available	2014-03-01T01:12:10Z
dc.date.issued	1996	en
dc.identifier.issn	0167-7152	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11991
dc.subject	Auto-correlation	en
dc.subject	Block-circulant matrices	en
dc.subject	Factorial designs	en
dc.subject.classification	Statistics & Probability	en
dc.title	Orthogonal designs in linear models and sequences with zero autocorrelation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0167-7152(95)00029-1	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0167-7152(95)00029-1	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	In factorial experiments the use of orthogonal designs provides better estimates for the main effects and interactions. In 2(k) factorial experiments we obtain orthogonal designs from Hadamard matrices. Sequences with zero autocorrelation can be used to construct Hadamard matrices. In this paper new sequences with zero autocorrelation which are called delta-sequences are employed to construct some new orthogonal designs.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Statistics and Probability Letters	en
dc.identifier.doi	10.1016/0167-7152(95)00029-1	en
dc.identifier.isi	ISI:A1996UC93100007	en
dc.identifier.volume	26	en
dc.identifier.issue	4	en
dc.identifier.spage	333	en
dc.identifier.epage	338	en