ESTAN - A toolbox for standardized and effective global sensitivity-based estimability analysis
The development of accurate and reliable mathematical models is the cornerstone for the modeling and optimization of processes. However, most of the existing models suffer from weak prediction capabilities due to poor data information content and poor parameter estimation methodologies. Several esti...
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| Main Authors: | , , |
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| Format: | Default Article |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/25585737.v1 |
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