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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/17023
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dc.contributor.authorTrinca, L. A.-
dc.contributor.authorGilmour, S. G.-
dc.date.accessioned2014-05-20T13:47:46Z-
dc.date.accessioned2016-10-25T17:01:01Z-
dc.date.available2014-05-20T13:47:46Z-
dc.date.available2016-10-25T17:01:01Z-
dc.date.issued1998-10-01-
dc.identifierhttp://asq.org/qic/display-item/index.html?item=11552-
dc.identifier.citationJournal of Quality Technology. Milwaukee: Amer Soc Quality Control-asqc, v. 30, n. 4, p. 314-327, 1998.-
dc.identifier.issn0022-4065-
dc.identifier.urihttp://hdl.handle.net/11449/17023-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/17023-
dc.description.abstractIn this paper, we extend the use of the variance dispersion graph (VDG) to experiments in which the response surface (RS) design must be blocked. Through several examples we evaluate the prediction performances of RS designs in non-orthogonal block designs compared with the equivalent unblocked designs and orthogonally blocked designs. These examples illustrate that good prediction performance of designs in small blocks can be expected in practice. Most importantly, we show that the allocation of the treatment set to blocks can seriously affect the prediction properties of designs; thus, much care is needed in performing this allocation.en
dc.format.extent314-327-
dc.language.isoeng-
dc.publisherAmer Soc Quality Control-asqc-
dc.sourceWeb of Science-
dc.subjectblockingpt
dc.subjectBox-Behnken designspt
dc.subjectcentral composite designspt
dc.subjectD-optimalitypt
dc.subjectpredictionpt
dc.titleVariance dispersion graphs for comparing blocked response surface designsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniv Reading-
dc.description.affiliationUniv Estadual Paulista, Dept Biostat, BR-18618000 Botucatu, SP, Brazil-
dc.description.affiliationUniv Reading, Dept Appl Stat, Reading RG6 6FN, Berks, England-
dc.description.affiliationUnespUniv Estadual Paulista, Dept Biostat, BR-18618000 Botucatu, SP, Brazil-
dc.identifier.wosWOS:000076695500002-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofJournal of Quality Technology-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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