Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation
10.1021/ie400133m
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sg-nus-scholar.10635-895222023-10-26T09:36:14Z Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation Maheshwari, V. Rangaiah, G.P. Samavedham, L. CHEMICAL & BIOMOLECULAR ENGINEERING 10.1021/ie400133m Industrial and Engineering Chemistry Research 52 24 8289-8304 IECRE 2014-10-09T06:54:43Z 2014-10-09T06:54:43Z 2013-06-19 Article Maheshwari, V., Rangaiah, G.P., Samavedham, L. (2013-06-19). Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation. Industrial and Engineering Chemistry Research 52 (24) : 8289-8304. ScholarBank@NUS Repository. https://doi.org/10.1021/ie400133m 08885885 http://scholarbank.nus.edu.sg/handle/10635/89522 000320898700021 Scopus |
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10.1021/ie400133m |
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CHEMICAL & BIOMOLECULAR ENGINEERING |
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CHEMICAL & BIOMOLECULAR ENGINEERING Maheshwari, V. Rangaiah, G.P. Samavedham, L. |
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Maheshwari, V. Rangaiah, G.P. Samavedham, L. |
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Maheshwari, V. Rangaiah, G.P. Samavedham, L. Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
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Maheshwari, V. |
title |
Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
title_short |
Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
title_full |
Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
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Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
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Multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
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multiobjective framework for model-based design of experiments to improve parameter precision and minimize parameter correlation |
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2014 |
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