Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/8607
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dc.contributor.authorPapamichael, E. M.en
dc.contributor.authorEvmiridis, N. P.en
dc.contributor.authorPotosis, C.en
dc.date.accessioned2015-11-24T16:42:51Z-
dc.date.available2015-11-24T16:42:51Z-
dc.identifier.issn0365-0979-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/8607-
dc.rightsDefault Licence-
dc.subjectnon-parametric methodsen
dc.subjectcomputer programen
dc.subjectfitting of nonlinear equationsen
dc.titleNon-parametric fitting of nonlinear equations to experimental data without use of initial guessing: A basic computer programen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.secondary<Go to ISI>://000087377400001-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείαςel
heal.publicationDate2000-
heal.abstractIn this work we present a non-parametric method, and the appropriate computer program, for fitting nonlinear multiparametric equations to experimental data. Our method is followed by computation of confidence limits of the parameter estimates. Its performance has been tested on several multiparametric equations, common in the fields of Biochemistry and Biotechnology, and it is a multiparametric expansion of the concept proposed by others for equations having more than two parameters. Good parameter estimates were obtained without a previous knowledge of initial parameter guessing values, and the proposed computer program converges rapidly, in all cases examined within this work.en
heal.journalNameBrazilian Archives of Biology and Technologyen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΧΗΜ

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