Numerical Methods of Optimum Experimental Design Based on a Second-Order Approximation of Confidence Regions

A successful application of model-based simulation and optimization of dynamic processes requires an exact calibration of the underlying mathematical models. Here, a fundamental task is the estimation of unknown and nature given model coefficients by means of real observations. After an appropriat...

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Gespeichert in:
1. Verfasser: Nattermann, Max
Beteiligte: Kostina, Ekaterina (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Format: Dissertation
Sprache:Deutsch
Veröffentlicht: Philipps-Universität Marburg 2014
Mathematik und Informatik
Ausgabe:http://dx.doi.org/10.17192/z2015.0054
Schlagworte:
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