Generalized variances ratio test for comparing k covariance matrices from dependent normal populations

dc.creator	Cirillo, Marcelo Angelo
dc.creator	Ferreira, Daniel Furtado
dc.creator	Sáfadi, Thelma
dc.creator	Ferreira, Eric Batista
dc.date.accessioned	2017-09-04T16:38:43Z
dc.date.available	2017-09-04T16:38:43Z
dc.date.issued	2010-11
dc.description.abstract	New 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.identifier.citation	CIRILLO, 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.uri	https://repositorio.ufla.br/handle/1/15328
dc.identifier.uri	http://digitalcommons.wayne.edu/jmasm/vol9/iss2/6/	pt_BR
dc.language	en_US	pt_BR
dc.publisher	Wayne State University	pt_BR
dc.rights	openAccess	pt_BR
dc.source	Journal of Modern Applied Statistical Methods	pt_BR
dc.subject	Dependent normal	pt_BR
dc.subject	Bootstrap	pt_BR
dc.subject	Variances generalized	pt_BR
dc.subject	Covariance matrices	pt_BR
dc.subject	Dependent normal	pt_BR
dc.subject	Variações generalizadas	pt_BR
dc.subject	Matrizes de covariância	pt_BR
dc.title	Generalized variances ratio test for comparing k covariance matrices from dependent normal populations	pt_BR
dc.type	Artigo	pt_BR

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