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Document type:
Zeitschriftenaufsatz 
Author(s):
R. Schenkendorf; A. Kremling; M. Mangold 
Title:
Influence of non-linearity to the Optimal Experimental Design demonstrated by a biological system 
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...    »
 
Journal title:
Mathematical and Computer Modelling of Dynamical Systems 
Year:
2012 
Covered by:
Web of Science 
Reviewed:
ja 
Language:
en 
Status:
Erstveröffentlichung 
Format:
Text