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Optimal weighing designs and some new weighing matrices

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dc.contributor.author Koukouvinos, C en
dc.date.accessioned 2014-03-01T01:11:23Z
dc.date.available 2014-03-01T01:11:23Z
dc.date.issued 1995 en
dc.identifier.issn 0167-7152 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/11614
dc.subject Associated polynomial en
dc.subject Autocorrelation en
dc.subject Construction en
dc.subject Optimal designs en
dc.subject Sequence en
dc.subject.classification Statistics & Probability en
dc.title Optimal weighing designs and some new weighing matrices en
heal.type journalArticle en
heal.identifier.primary 10.1016/0167-7152(94)00203-K en
heal.identifier.secondary http://dx.doi.org/10.1016/0167-7152(94)00203-K en
heal.language English en
heal.publicationDate 1995 en
heal.abstract In experimental situations where n three-level factors are involved and n observations are taken, we obtain orthogonal designs from weighing matrices. In factorial experiments the use of orthogonal designs contributes decisively to the reduction of variance which is considered to be a significant factor in the improvement of industrial products. Sequences with elements 0, 1, -1 and zero autocorrelation function can be used to construct weighing matrices. In this paper we discuss some constructions of weighing designs. We give some new {0,1, -1} sequences with zero autocorrelation function from which we construct some new weighing matrices. © 1995. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Statistics and Probability Letters en
dc.identifier.doi 10.1016/0167-7152(94)00203-K en
dc.identifier.isi ISI:A1995TB24900006 en
dc.identifier.volume 25 en
dc.identifier.issue 1 en
dc.identifier.spage 37 en
dc.identifier.epage 42 en


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