The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Model-based design of experiments for parameter precision: State of the art
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Citations
Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
(2005) · Technometrics · doi:10.1198/tech.2005.s303 · Cited by 17,923
Empirical Model Building and Response Surfaces
Freeny, A. (1988) · Technometrics · doi:10.1080/00401706.1988.10488371 · Cited by 5,235
Fisher, R. A. (1936) · BMJ · doi:10.1136/bmj.1.3923.554-a · Cited by 4,980
Statistics for experimenters. An introduction to design, data analysis, and model building.
Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1978) · Cited by 4,021
Nonlinear Regression Analysis and Its Applications
Bates, D. M., & Watts, D. G. (1988) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316757 · Cited by 3,979
Computer Aided Design of Experiments
Kennard, R. W., & Stone, L. A. (1969) · Technometrics · doi:10.1080/00401706.1969.10490666 · Cited by 3,648
Bain, L. J. (1967) · Technometrics · doi:10.1080/00401706.1967.10490452 · Cited by 3,407
Nonlinear Parameter Estimation
Chambers, J. M., & Bard, Y. (1975) · Technometrics · doi:10.2307/1268363 · Cited by 2,158
Nonlinear Parameter Estimation
Brubaker, T. A., & O'Keefe, K. R. (1979) · Analytical Chemistry · doi:10.1021/ac50049a796 · Cited by 2,134
Cited by
Sharifzadeh, M., Sadeqzadeh, M., Guo, M., Borhani, T. N., Murthy Konda, N. V. S. N., Garcia, M. C., Wang, L., Hallett, J., & Shah, N. (2019) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2018.10.006 · Cited by 473
Saa, P. A., & Nielsen, L. K. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2017.09.005 · Cited by 166
Between the Poles of Data‐Driven and Mechanistic Modeling for Process Operation
Solle, D., Hitzmann, B., Herwig, C., Pereira Remelhe, M., Ulonska, S., Wuerth, L., Prata, A., & Steckenreiter, T. (2017) · Chemie Ingenieur Technik · doi:10.1002/cite.201600175 · Cited by 134
An automated computational approach to kinetic model discrimination and parameter estimation
Taylor, C. J., Seki, H., Dannheim, F. M., Willis, M. J., Clemens, G., Taylor, B. A., Chamberlain, T. W., & Bourne, R. A. (2021) · Reaction Chemistry & Engineering · doi:10.1039/d1re00098e · Cited by 37
A global parallel model based design of experiments method to minimize model output uncertainty
Bazil, J. N., Buzzard, G. T., & Rundell, A. E. (2012) · Bulletin of Mathematical Biology · doi:10.1007/s11538-011-9686-9 · Cited by 28
Metadata
- Authors
- Franceschini, G., & Macchietto, S.
- Venue
- Chemical Engineering Science
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 63
- Issue
- 19
- Pages
- 4846-4872
- ISSN
- 0009-2509 (ISSN-L)
- OpenAlex
- W2036407535
- Cited by
- 818
- References
- 105
- FWCI
- 20.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Franceschini, G., & Macchietto, S. (2008). Model-based design of experiments for parameter precision: State of the art. Chemical Engineering Science. https://doi.org/10.1016/j.ces.2007.11.034
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
