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dc.creatorOrtiz, Felipe
dc.creatorRivera, Juan C.
dc.creatorMelo, Oscar O.
dc.date.accessioned2019-07-03T16:02:06Z
dc.date.available2019-07-03T16:02:06Z
dc.date.created2013
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/73213
dc.descriptionA methodology is proposed to jointly model treatments with quantitativelevels measured throughout time by combining the response surface andgrowth curve techniques. The model parameters, which measure the effectthroughout time of the factors related to the second-order response surfacemodel, are estimated. These estimates are made through a suitable transformationthat allows to express the model as a classic MANOVA model,so the traditional hypotheses are formulated and tested. In addition, theoptimality conditions throughout time are established as a set of specificcombination factors by the fitted model. As a final step, two applicationsare analyzed using our proposed model: the first was previously analyzedwith growth curves in another paper, and the second involves two factorsthat are optimized over time.
dc.formatapplication/pdf
dc.publisherUniversidad Nacional de Colombia
dc.relationhttp://revistas.unal.edu.co/index.php/estad/article/view/39615
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística
dc.relation.ispartofRevista Colombiana de Estadística
dc.relation.ispartofseriesRevista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 153-176 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 153-176 0120-1751
dc.subjectGrowth curves
dc.subjectMultiple optimization
dc.subjectResponse surfaces
dc.subjectSecond order models
dc.titleResponse surface optimization in growth curves through multivariate analysis
dc.typeinfo:eu-repo/semantics/article
dc.type.spaArtículo - Article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.bibliographicCitationOrtiz, Felipe and Rivera, Juan C. and Melo, Oscar O. (2013) Response surface optimization in growth curves through multivariate analysis. Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 153-176 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 153-176 0120-1751 .
dc.identifier.eprintshttp://bdigital.unal.edu.co/37688/


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