Practical identifiability of parameters in Monod kinetics and statistical analysis of residuals

Autor:	Padmanaban Kesavan, Victor J. Law
Rok vydání:	2005
Předmět:	Environmental Engineering Biomedical Engineering Explained sum of squares Experimental data Monod kinetics Bioengineering Noise Identifiability Applied mathematics Uniqueness Nonlinear regression Biotechnology Statistical hypothesis testing Mathematics
Zdroj:	Biochemical Engineering Journal. 24:95-104
ISSN:	1369-703X
DOI:	10.1016/j.bej.2005.01.028
Popis:	A systematic procedure for identifying the number of parameters of a model that can be estimated uniquely by nonlinear regression is presented. The objective function to be minimized is in the form of weighted sum of squares of residuals. The assumptions inherent in the choice of weights and the validity of the parameters estimated are verified by statistical tests. The procedure is illustrated by considering the estimation of parameters for Monod kinetics. Simulated data containing known measurement noise are used initially to illustrate the procedure. Finally, parameters are estimated from different sets of experimental data, and the validity and the uniqueness of the parameters are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bdfb6052b3a76019c30d7c04e37e6446 https://doi.org/10.1016/j.bej.2005.01.028 Zobrazit plný text záznamu Full Text from ScienceDirect