A new sampling strategy to reduce the effect of autocorrelation on a control chart

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dc.contributor.authorFranco, Bruno Chaves [UNESP]
dc.contributor.authorCastagliola, Philippe
dc.contributor.authorCelano, Giovanni
dc.contributor.authorBranco Costa, Antonio Fernando [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionLUNAM Univ
dc.contributor.institutionUniv Nantes
dc.contributor.institutionIRCCyN UMR CNRS 6597
dc.contributor.institutionUniv Catania
dc.date.accessioned2014-12-03T13:11:49Z
dc.date.available2014-12-03T13:11:49Z
dc.date.issued2014-07-03
dc.description.abstractThe ratio method is commonly used to the estimation of means and totals. This method was extended to the problem of estimating the distribution function. An alternative ratio estimator of the distribution function is defined. A result that compares the variances of the aforementioned ratio estimators is used to define optimum design-based ratio estimators of the distribution function. Different empirical results indicate that the optimum ratio estimators can be more efficient than alternative ratio estimators. In addition, we show by simulations that alternative ratio estimators can have large biases, whereas biases of the optimum ratio estimators are negligible in this situation.en
dc.description.affiliationSao Paulo State Univ, Prod Dept, Guaratingueta, SP, Brazil
dc.description.affiliationLUNAM Univ, IRCCyN UMR CNRS 6597, Nantes, France
dc.description.affiliationUniv Nantes, LUNAM Univ, Nantes, France
dc.description.affiliationIRCCyN UMR CNRS 6597, Nantes, France
dc.description.affiliationUniv Catania, Dept Ind Engn, Catania, Italy
dc.description.affiliationUnespSao Paulo State Univ, Prod Dept, Guaratingueta, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent1408-1421
dc.identifierhttp://www.tandfonline.com/doi/abs/10.1080/02664763.2013.871507
dc.identifier.citationJournal of Applied Statistics. Abingdon: Taylor & Francis Ltd, v. 41, n. 7, p. 1408-1421, 2014.
dc.identifier.issn0266-4763
dc.identifier.lattes6100382011052492
dc.identifier.urihttp://hdl.handle.net/11449/113605
dc.identifier.wosWOS:000335854800002
dc.language.isoeng
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of Applied Statistics
dc.relation.ispartofjcr0.699
dc.relation.ispartofsjr0,475
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectinclusion probabilityen
dc.subjectauxiliary informationen
dc.subjectvarianceen
dc.subjectlow income proportionen
dc.subjectquantileen
dc.titleA new sampling strategy to reduce the effect of autocorrelation on a control charten
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderTaylor & Francis Ltd
unesp.author.lattes6100382011052492[4]
unesp.author.orcid0000-0003-2133-1098[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Guaratinguetápt

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