You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/109929
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFerreira, Iuri E. P.-
dc.contributor.authorTrinca, Luzia A.-
dc.contributor.authorFerreira, Cláudia P.-
dc.date.accessioned2014-10-01T13:08:41Z-
dc.date.accessioned2016-10-25T19:45:24Z-
dc.date.available2014-10-01T13:08:41Z-
dc.date.available2016-10-25T19:45:24Z-
dc.date.issued2014-
dc.identifierhttp://dx.doi.org/10.5935/0100-4042.20140102-
dc.identifier.citationQuímica Nova. Sociedade Brasileira de Química, v. 37, n. 4, p. 589-596, 2014.-
dc.identifier.issn0100-4042-
dc.identifier.urihttp://hdl.handle.net/11449/109929-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/109929-
dc.description.abstractIn this paper we show how to obtain efficient designs of experiments for fitting Michaelis-Menten and Hill equations useful in chemical studies. The search of exact D-optimal designs by using local and pseudo-Bayesian approaches is considered. Optimal designs were compared to those commonly used in practice using an efficiency measure and theoretical standard errors of the kinetic parameter estimates. In conclusion, the D-optimal designs based on the Hill equation proved efficient for estimating the parameters of both models. Furthermore, these are promising with respect to practical issues, allowing efficient estimation as well as goodness-of-fit tests and comparisons between some kinetic models.en
dc.format.extent589-596-
dc.language.isopor-
dc.publisherSociedade Brasileira de Química-
dc.sourceSciELO-
dc.subjectoptimum design theoryen
dc.subjectMichaelis-Menten kineticsen
dc.subjectHill equationen
dc.titleDelineamentos experimentais eficientes para estudos de cinética químicapt
dc.title.alternativeEfficient experimental designs for chemical kinetics studiesen
dc.typeoutro-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniversidade de São Paulo Escola Superior de Agricultura Luiz de Queiroz Departamento de Ciências Exatas-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho Instituto de Biociências Departamento de Bioestatística-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho Instituto de Biociências Departamento de Bioestatística-
dc.identifier.doi10.5935/0100-4042.20140102-
dc.identifier.scieloS0100-40422014000400003-
dc.rights.accessRightsAcesso aberto-
dc.identifier.fileS0100-40422014000400003.pdf-
dc.relation.ispartofQuímica Nova-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.