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Titel:

Influence of non-linearity to the Optimal Experimental Design demonstrated by a biological system

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
R. Schenkendorf; A. Kremling; M. Mangold
Abstract:
A precise estimation of parameters is essential to generate mathematical models with a highly predictive power. A framework that attempts to reduce parameter uncertainties caused by measurement errors is known as Optimal Experimental Design (OED). The Fisher Information Matrix (FIM), which is commonly used to define a cost function for OED, provides at the best only a lower bound of parameter uncertainties for models that are non-linear in their parameters. In this work, the Sigma Point method i...     »
Zeitschriftentitel:
Mathematical and Computer Modelling of Dynamical Systems
Jahr:
2012
Nachgewiesen in:
Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:DOI:10.1080/13873954.2011.642385
Status:
Erstveröffentlichung
Format:
Text
 BibTeX