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Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/42536
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Campo DCValorIdioma
dc.creatorLiska, Gilberto Rodrigues-
dc.creatorCirillo, Marcelo Ângelo-
dc.creatorMenezes, Fortunato Silva de-
dc.creatorBueno Filho, Julio Silvio de Sousa-
dc.date.accessioned2020-08-21T16:34:35Z-
dc.date.available2020-08-21T16:34:35Z-
dc.date.issued2020-
dc.identifier.citationLISKA, G. R. et al. A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments. Acta Scientiarum. Technology, Maringá, v. 42, e44068, 2020.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/42536-
dc.description.abstractA new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carbohydrate, and fiber on tumors’ proportion in mammary glands of rats. Model was evaluated by goodness of fit criteria, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals. The simplex regression model showed better quality of fit and smaller odds ratio confidence intervals.pt_BR
dc.languageen_USpt_BR
dc.publisherUniversidade Estadual de Maringápt_BR
dc.rightsAttribution 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceActa Scientiarum. Technologypt_BR
dc.subjectDispersion model familypt_BR
dc.subjectMixture modelpt_BR
dc.subjectMammary gland tumorspt_BR
dc.subjectOdds ratiopt_BR
dc.subjectModelo de misturapt_BR
dc.subjectTumores da glândula mamáriapt_BR
dc.subjectRazão de probabilidadept_BR
dc.titleA simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experimentspt_BR
dc.typeArtigopt_BR
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