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dc.creatorRocha, Marcela C.-
dc.creatorFerreira, Eric B.-
dc.creatorFerreira, Daniel F.-
dc.date.accessioned2021-06-23T18:52:43Z-
dc.date.available2021-06-23T18:52:43Z-
dc.date.issued2020-01-
dc.identifier.citationROCHA, M. C.; FERREIRA, E. B.; FERREIRA, D. F. Canonical Correlation-based Tests for the Agreement of Sensory Panelists. Journal of Mathematics and Statistics, [S. I.], v. 16, n. 1, p. 9-19, 2020. DOI: 10.3844/jmssp.2020.9.19.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/46567-
dc.description.abstractThe reliability of the results of sensory analysis is directly linked to the performance of panel of assessors what, in general, means the ability of judges to identify small differences between products, the replicability of their ratings for the same product and the panel consonance. The panel consonance - usually called unidimensionality - can be understood as the agreement between the judges, thus it reflects the degree of training. Several methods have been proposed for assessing panel unidimensionality but always checking one attribute at a time. We proposed a generalization of the unidimensionality concept based on canonical correlation and enabling to consider several attributes simultaneously.pt_BR
dc.languageenpt_BR
dc.publisherScience Publicationspt_BR
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceJournal of Mathematics and Statisticspt_BR
dc.subjectSensory assessorspt_BR
dc.subjectMultivariate agreementpt_BR
dc.subjectR Softwarept_BR
dc.subjectMonte Carlo simulationpt_BR
dc.subjectPowerpt_BR
dc.subjectType I error ratept_BR
dc.subjectCorrelação canônicapt_BR
dc.subjectAvaliadores sensoriaispt_BR
dc.subjectAnálise multivariadapt_BR
dc.subjectSimulação de Monte Carlopt_BR
dc.subjectTaxa de erro tipo Ipt_BR
dc.titleCanonical Correlation-based Tests for the Agreement of Sensory Panelistspt_BR
dc.typeArtigopt_BR
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