A useful empirical bayesian method to analyse industrial data from saturated factorial designs

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dc.contributor.authorYukie Baba, Marta [UNESP]
dc.contributor.authorAlberto Achcar, Jorge [UNESP]
dc.contributor.authorAntonio Moala, Fernando [UNESP]
dc.contributor.authorMinoru Oikawa, Sergio [UNESP]
dc.contributor.authorLuis Piratelli, Claudio
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity Center of Araraquara
dc.date.accessioned2014-05-27T11:29:28Z
dc.date.available2014-05-27T11:29:28Z
dc.date.issued2013-05-07
dc.description.abstractThe use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated designs, since we could only get the estimates of the main factor effects and we would not have degrees of freedom to estimate the variance of the error. In this paper, we propose the use of empirical Bayesian procedures to get inferences for data obtained from saturated designs. The proposed methodology is illustrated assuming a simulated data set. © 2013 Growing Science Ltd. All rights reserved.en
dc.description.affiliationStatisticsDepartment - UNESP Universidade Estadual Paulista, Presidente Prudente, SP
dc.description.affiliationUniversity Center of Araraquara, Rua Carlos Gomes, 1338 - Centro, CEP 14801-340. Araraquara - SP
dc.description.affiliationUnespStatisticsDepartment - UNESP Universidade Estadual Paulista, Presidente Prudente, SP
dc.format.extent337-344
dc.identifierhttp://dx.doi.org/10.5267/j.ijiec.2013.04.001
dc.identifier.citationInternational Journal of Industrial Engineering Computations, v. 4, n. 3, p. 337-344, 2013.
dc.identifier.doi10.5267/j.ijiec.2013.04.001
dc.identifier.file2-s2.0-84877005337.pdf
dc.identifier.issn1923-2926
dc.identifier.issn1923-2934
dc.identifier.lattes2496686315079954
dc.identifier.lattes1621269552366697
dc.identifier.lattes4182935185298861
dc.identifier.scopus2-s2.0-84877005337
dc.identifier.urihttp://hdl.handle.net/11449/75365
dc.language.isoeng
dc.relation.ispartofInternational Journal of Industrial Engineering Computations
dc.relation.ispartofsjr0,537
dc.relation.ispartofsjr0,537
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectEmpirical bayesian methods
dc.subjectPlackett-burman designs
dc.subjectSaturated designs
dc.titleA useful empirical bayesian method to analyse industrial data from saturated factorial designsen
dc.typeArtigo
unesp.author.lattes2496686315079954[1]
unesp.author.lattes1621269552366697[3]
unesp.author.lattes4182935185298861
unesp.author.orcid0000-0002-2445-0407[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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Artigos - Estatística - FCT