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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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| Format: | Dissertation |
| Sprache: | Englisch |
| Veröffentlicht: |
Philipps-Universität Marburg
2014
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| Online Zugang: | PDF-Volltext |
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