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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/15328
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dc.creatorCirillo, Marcelo Angelo-
dc.creatorFerreira, Daniel Furtado-
dc.creatorSáfadi, Thelma-
dc.creatorFerreira, Eric Batista-
dc.date.accessioned2017-09-04T16:38:43Z-
dc.date.available2017-09-04T16:38:43Z-
dc.date.issued2010-11-
dc.identifier.citationCIRILLO, M. A. et al. Generalized variances ratio test for comparing k covariance matrices from dependent normal populations. Journal of Modern Applied Statistical Methods, [S. l.], v. 9, n. 2, p. 369-378, Nov. 2010.pt_BR
dc.identifier.urihttp://digitalcommons.wayne.edu/jmasm/vol9/iss2/6/pt_BR
dc.identifier.urirepositorio.ufla.br/jspui/handle/1/15328-
dc.description.abstractNew tests based on the ratio of generalized variances are presented to compare covariance matrices from dependent normal populations. Monte Carlo simulation concluded that the tests considered controlled the Type I error, providing empirical probabilities that were consistent with the nominal level stipulated.pt_BR
dc.languageen_USpt_BR
dc.publisherWayne State Universitypt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceJournal of Modern Applied Statistical Methodspt_BR
dc.subjectDependent normalpt_BR
dc.subjectBootstrappt_BR
dc.subjectVariances generalizedpt_BR
dc.subjectCovariance matricespt_BR
dc.subjectDependent normalpt_BR
dc.subjectVariações generalizadaspt_BR
dc.subjectMatrizes de covariânciapt_BR
dc.titleGeneralized variances ratio test for comparing k covariance matrices from dependent normal populationspt_BR
dc.typeArtigopt_BR
Appears in Collections:DEX - Artigos publicados em periódicos

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