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On optimality and construction of circular repeated-measurements designs

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dc.contributor.authorBailey, Rosemary Anne
dc.contributor.authorCameron, Peter Jephson
dc.contributor.authorFilipiak, Katarzyna
dc.contributor.authorKunert, Joachim
dc.contributor.authorMarkiewicz, Augustyn
dc.date.accessioned2017-01-13T11:30:08Z
dc.date.available2017-01-13T11:30:08Z
dc.date.issued2017-01
dc.identifier240257076
dc.identifier130d1c5c-7798-4f6e-9088-acbc46152aba
dc.identifier85011423499
dc.identifier000392360200001
dc.identifier.citationBailey , R A , Cameron , P J , Filipiak , K , Kunert , J & Markiewicz , A 2017 , ' On optimality and construction of circular repeated-measurements designs ' , Statistica Sinica , vol. 27 , no. 1 , pp. 1-22 . https://doi.org/10.5705/ss.202015.0045en
dc.identifier.issn1017-0405
dc.identifier.otherORCID: /0000-0002-8990-2099/work/39600107
dc.identifier.otherORCID: /0000-0003-3130-9505/work/58055684
dc.identifier.urihttps://hdl.handle.net/10023/10092
dc.description.abstractThe aim of this paper is to characterize and construct universally optimal designs among the class of circular repeated-measurements designs when the parameters do not permit balance for carry-over effects. It is shown that some circular weakly neighbour balanced designs defined by Filipiak and Markiewicz (2012) are universally optimal repeated-measurements designs. These results extend the work of Magda (1980), Kunert (1984b) and Filipiak and Markiewicz (2012).
dc.format.extent22
dc.format.extent394590
dc.language.isoeng
dc.relation.ispartofStatistica Sinicaen
dc.subjectCircular weakly balanced designen
dc.subjectRepeated-mesaurements designen
dc.subjectUniform designen
dc.subjectUniversal optimalityen
dc.subjectHA Statisticsen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectT-NDASen
dc.subject.lccHAen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleOn optimality and construction of circular repeated-measurements designsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Pure Mathematicsen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.doi10.5705/ss.202015.0045
dc.description.statusPeer revieweden


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