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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/65665
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dc.contributor.authorCosta, Antonio F. B.-
dc.date.accessioned2014-05-27T11:19:41Z-
dc.date.accessioned2016-10-25T18:15:31Z-
dc.date.available2014-05-27T11:19:41Z-
dc.date.available2016-10-25T18:15:31Z-
dc.date.issued1998-12-01-
dc.identifier.citationCommunications in Statistics - Theory and Methods, v. 27, n. 11, p. 2853-2869, 1998.-
dc.identifier.issn0361-0926-
dc.identifier.urihttp://hdl.handle.net/11449/65665-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/65665-
dc.description.abstractA standard X̄ chart for controlling the process mean takes samples of size n0 at specified, equally-spaced, fixed-time points. This article proposes a modification of the standard X chart that allows one to take additional samples, bigger than n0, between these fixed times. The additional samples are taken from the process when there is evidence that the process mean moved from target. Following the notation proposed by Reynolds (1996a) and Costa (1997) we shortly call the proposed X chart as VSSIFT X chart where VSSIFT means variable sample size and sampling intervals with fixed times. The X chart with the VSSIFT feature is easier to be administered than a standard VSSI X chart that is not constrained to sample at the specified fixed times. The performances of the charts in detecting process mean shifts are comparable. Copyright © 1998 by Marcel Dekker, Inc.en
dc.format.extent2853-2869-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAverage time to signal-
dc.subjectStatistical process control-
dc.subjectVariable sample size-
dc.subjectVariable sampling interval-
dc.subjectX̄ control charts-
dc.titleVSSI X̄ charts with sampling at fixed timesen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationFEG-UNESP, 12500-000 Guaratingueta, S. P.-
dc.description.affiliationUnespFEG-UNESP, 12500-000 Guaratingueta, S. P.-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofCommunications in Statistics: Theory and Methods-
dc.identifier.scopus2-s2.0-0347561892-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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