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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13987
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dc.contributor.authorRamos, Pedro Luiz-
dc.contributor.authorLouzada, Francisco-
dc.contributor.authorCancho, Vicente Garibay-
dc.creatorRamos, Pedro Luiz-
dc.creatorLouzada, Francisco-
dc.creatorCancho, Vicente Garibay-
dc.date2017-03-31-
dc.date.accessioned2017-08-01T20:09:57Z-
dc.date.available2017-08-01T20:09:57Z-
dc.date.issued2017-08-01-
dc.identifier.citationRAMOS, P. L.; LOUZADA, F.; CANCHO, V. H. Maximum likelihood estimation for the weighted lindley distribution parameters under different types of censoring. Revista Brasileira de Biometria, Lavras, v. 35, n. 1, p.115-131, mar. 2017.-
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/13987-
dc.descriptionIn this paper the maximum likelihood estimators for the parameters of the weighted Lindley distribution considering dierent types of censoring, such as, type I, type II and random censoring are presented. A numerical simulation study is performed in order to verify the eciency of our proposed methodology, which is also fully illustrated on two real data set.-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherUniversidade Federal de Lavras-
dc.relationhttp://www.biometria.ufla.br/index.php/BBJ/article/view/81/90-
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceRevista Brasileira de Biometria; Vol 35 No 1 (2017); 115-131-
dc.source1983-0823-
dc.subjectWeighted Lindley distribution-
dc.subjectMaximum likelihood estimation-
dc.subjectCensored data-
dc.subjectRandom censoring-
dc.subjectSimulação numérica-
dc.subjectDados censurados-
dc.subjectCensura aleatória-
dc.titleMaximum likelihood estimation for the weighted lindley distribution parameters under different types of censoring-
dc.title.alternativeEstimador de máxima verossimilhança para a distribuição weighted de Lindley sob diferentes tipos de censura-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typePeer-reviewed Article-
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