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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/9496
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dc.contributor.authorCosta, Antonio F. B.-
dc.contributor.authorCastagliola, Philippe-
dc.date.accessioned2014-05-20T13:28:31Z-
dc.date.accessioned2016-10-25T16:48:12Z-
dc.date.available2014-05-20T13:28:31Z-
dc.date.available2016-10-25T16:48:12Z-
dc.date.issued2011-01-01-
dc.identifierhttp://dx.doi.org/10.1080/02664760903563627-
dc.identifier.citationJournal of Applied Statistics. Abingdon: Routledge Journals, Taylor & Francis Ltd, v. 38, n. 4, p. 661-673, 2011.-
dc.identifier.issn0266-4763-
dc.identifier.urihttp://hdl.handle.net/11449/9496-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/9496-
dc.description.abstractMeasurement error and autocorrelation often exist in quality control applications. Both have an adverse effect on the (X) over bar chart's performance. To counteract the undesired effect of autocorrelation, we build-up the samples with non-neighbouring items, according to the time they were produced. To counteract the undesired effect of measurement error, we measure the quality characteristic of each item of the sample several times. The chart's performance is assessed when multiple measurements are applied and the samples are built by taking one item from the production line and skipping one, two or more before selecting the next.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent661-673-
dc.language.isoeng-
dc.publisherRoutledge Journals, Taylor & Francis Ltd-
dc.sourceWeb of Science-
dc.subject(X)over-bar charten
dc.subjectmeasurement erroren
dc.subjectfirst-order autoregressive modelen
dc.subjectmultiple measurementsen
dc.subjectskipping items strategyen
dc.titleEffect of measurement error and autocorrelation on the (X)over-bar charten
dc.typeoutro-
dc.contributor.institutionUniv Nantes-
dc.contributor.institutionCNRS-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Nantes, Nantes, France-
dc.description.affiliationCNRS, IRCCyN, UMR 6597, Nantes, France-
dc.description.affiliationSão Paulo State Univ, Prod Dept, Guaratingueta, SP, Brazil-
dc.description.affiliationUnespSão Paulo State Univ, Prod Dept, Guaratingueta, SP, Brazil-
dc.description.sponsorshipIdCNPq: 307744/2006-0-
dc.identifier.doi10.1080/02664760903563627-
dc.identifier.wosWOS:000287020600002-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofJournal of Applied Statistics-
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