Non-parametric fitting of nonlinear equations to experimental data without use of initial guessing: A basic computer program

 
This item is provided by the institution :
University of Ioannina
Repository :
Repository of UOI Olympias
see the original item page
in the repository's web site and access all digital files if the item*
share



2000 (EN)
Non-parametric fitting of nonlinear equations to experimental data without use of initial guessing: A basic computer program (EN)

Papamichael, E. M. (EN)

Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείας (EL)
Papamichael, E. M. (EN)

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)

non-parametric methods (EN)

Πανεπιστήμιο Ιωαννίνων (EL)
University of Ioannina (EN)

Brazilian Archives of Biology and Technology (EN)

English

2000

<Go to ISI>://000087377400001



*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)