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dc.contributor.authorBailey, Rosemary Anne
dc.contributor.authorLacka, Agnieszka
dc.date.accessioned2015-04-23T14:31:02Z
dc.date.available2015-04-23T14:31:02Z
dc.date.issued2015-10
dc.identifier.citationBailey , R A & Lacka , A 2015 , ' Nested row-column designs for near-factorial experiments with two treatment factors and one control treatment ' , Journal of Statistical Planning and Inference , vol. 165 , pp. 63-77 . https://doi.org/10.1016/j.jspi.2015.04.003en
dc.identifier.issn0378-3758
dc.identifier.otherPURE: 179649696
dc.identifier.otherPURE UUID: ba091a94-3ead-4918-86ee-e7d92ca6984d
dc.identifier.otherScopus: 84929944800
dc.identifier.otherORCID: /0000-0002-8990-2099/work/39600098
dc.identifier.otherWOS: 000356749000006
dc.identifier.urihttps://hdl.handle.net/10023/6556
dc.descriptionThe authors also thank Queen Mary, University of London, the University of St Andrews and the Poznan University of Life Sciences for financial support. The second author was also supported by the British-Polish Young Scientists Programme, grant WAR/342/116.en
dc.description.abstractThis paper presents some methods of designing experiments in a block design with nested rows and columns. The treatments consist of all combinations of levels of two treatment factors, with an additional control treatment.
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofJournal of Statistical Planning and Inferenceen
dc.rights© 2015 Elsevier B.V. All rights reserved. This is the author’s version of a work that was accepted for publication in Journal of Statistical Planning and Inference. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Statistical Planning and Inference, 21 April 2015 DOI 10.1016/j.jspi.2015.04.003en
dc.subjectBlock designs with nested rows and columnsen
dc.subjectControl treatmenten
dc.subjectMixed modelsen
dc.subjectNear-factorial experimenten
dc.subjectSupplemented balanceen
dc.subjectSupplemented partial balanceen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectT-NDASen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleNested row-column designs for near-factorial experiments with two treatment factors and one control treatmenten
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.doihttps://doi.org/10.1016/j.jspi.2015.04.003
dc.description.statusPeer revieweden


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