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Parameter estimation from multiresponse data
Abstract
Multiresponse data are familiar outputs of experiments and processes involving multicomponent mixtures, multiple streams or multiple methods of observation. The resulting arrays of data exhibit various structures, including rectangular (no missing values), block‐rectangular, and irregular (missing values with no simple pattern). Methods for modeling such data are described, emphasizing parameter estimation strategy and available software. Experiences in multiresponse modeling are then reviewed for several chemical engineering problems.
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Powell, M. J. D. (1964) · The Computer Journal · doi:10.1093/comjnl/7.2.155 · Cited by 4,632
Cited by
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Thermal degradation of glucosinolates in red cabbage
Oerlemans, K., Barrett, D. M., Suades, C. B., Verkerk, R., & Dekker, M. (2006) · Food Chemistry · doi:10.1016/j.foodchem.2004.12.013 · Cited by 285
Molecular-level descriptions of surface chemistry in kinetic models using density functional theory
Gokhale, A. A., Kandoi, S., Greeley, J. P., Mavrikakis, M., & Dumesic, J. A. (2004) · Chemical Engineering Science · doi:10.1016/j.ces.2004.09.038 · Cited by 272
Matera, S., Schneider, W. F., Heyden, A., & Savara, A. (2019) · ACS Catalysis · doi:10.1021/acscatal.9b01234 · Cited by 222
Global optimization for the parameter estimation of differential-algebraic systems
Esposito, W. R., & Floudas, C. A. (2000) · Industrial & Engineering Chemistry Research · doi:10.1021/ie990486w · Cited by 188
Metadata
- Authors
- Stewart, W. E., Caracotsios, M., & Sørensen, J. P.
- Venue
- AIChE Journal
- Publisher
- Wiley
- Published
- 1992-05
- Volume
- 38
- Issue
- 5
- Pages
- 641-650
- ISSN
- 0001-1541 (ISSN-L)
- 1547-5905
- OpenAlex
- W2032402968
- Cited by
- 240
- References
- 1
- FWCI
- 5.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Stewart, W. E., Caracotsios, M., & Sørensen, J. P. (1992). Parameter estimation from multiresponse data. AIChE Journal. https://doi.org/10.1002/aic.690380502
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
