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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13986
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dc.contributor.authorRizzo, Filipe das Neves-
dc.contributor.authorGajo, Cristiane Alvarenga-
dc.contributor.authorSouza, Devanil Jaques de-
dc.contributor.authorChaves, Lucas Monteiro-
dc.creatorRizzo, Filipe das Neves-
dc.creatorGajo, Cristiane Alvarenga-
dc.creatorSouza, Devanil Jaques de-
dc.creatorChaves, Lucas Monteiro-
dc.date2016-01-04-
dc.date.accessioned2017-08-01T20:09:57Z-
dc.date.available2017-08-01T20:09:57Z-
dc.date.issued2017-08-01-
dc.identifier.citationRIZZO, F. das N. et al. A bayesian approach to shrinkage estimators. Revista Brasileira de Biometria, Lavras, v. 33, n. 4, p. 585-602, jan. 2016.-
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/13986-
dc.descriptionEstimators obtained by shrinking the least squares estimator are becoming widely used since the work of Stein, in the early 60’s, where it was presented an estimator for the mean of multivariate normal that dominates the sample mean, and the work of Hoerl and Kennard, in the early 70’s, on ridge estimators. In this work we present an approach using Bayesian and empirical Bayesian procedures to obtain some important shrinkage estimators. -
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherUniversidade Federal de Lavras-
dc.relationhttp://www.biometria.ufla.br/index.php/BBJ/article/view/38/24-
dc.rightsCopyright (c) 2015 Filipe das Neves RIZZO, Cristiane Alvarenga GAJO, Devanil Jaques de SOUZA, Lucas Monteiro CHAVES-
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceREVISTA BRASILEIRA DE BIOMETRIA; Vol 33 No 4 (2015); 585-602-
dc.source1983-0823-
dc.subjectShrinkage estimators-
dc.subjectEmpirical Bayes-
dc.subjectMinimum mean square estimator-
dc.subjectAbordagem Bayesiana-
dc.subjectEstimadores de encolhimento-
dc.subjectEstimação por mínimos quadrados-
dc.titleA bayesian approach to shrinkage estimators-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typePeer-reviewed Article-
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