Non-parametric fitting of nonlinear equations to experimental data without use of initial guessing: A basic computer program
| dc.contributor.author | Papamichael, E. M. | en |
| dc.contributor.author | Evmiridis, N. P. | en |
| dc.contributor.author | Potosis, C. | en |
| dc.date.accessioned | 2015-11-24T16:42:51Z | |
| dc.date.available | 2015-11-24T16:42:51Z | |
| dc.identifier.issn | 0365-0979 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/8607 | |
| dc.rights | Default Licence | - |
| dc.subject | non-parametric methods | en |
| dc.subject | computer program | en |
| dc.subject | fitting of nonlinear equations | en |
| dc.title | Non-parametric fitting of nonlinear equations to experimental data without use of initial guessing: A basic computer program | en |
| heal.abstract | In 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.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.secondary | <Go to ISI>://000087377400001 | - |
| heal.journalName | Brazilian Archives of Biology and Technology | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2000 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείας | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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