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Orthogonal designs in linear models and sequences with zero autocorrelation

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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


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