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An anticipatory approach to optimal experimental design for model discrimination

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Keywords
Optimal experimental design, Rival models, Model discrimination, Dynamic modeling, Mathematical models, OPTIMAL DYNAMIC EXPERIMENTS, PARAMETER-ESTIMATION, NONLINEAR OPTIMIZATION, SYSTEMS, BIOCHEMICAL PATHWAYS

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Chicago
Donckels, Brecht, Dirk De Pauw, Bernard De Baets, Jo Maertens, and Peter A Vanrolleghem. 2009. “An Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” Chemometrics and Intelligent Laboratory Systems 95 (1): 53–63.
APA
Donckels, B., De Pauw, D., De Baets, B., Maertens, J., & Vanrolleghem, P. A. (2009). An anticipatory approach to optimal experimental design for model discrimination. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 95(1), 53–63.
Vancouver
1.
Donckels B, De Pauw D, De Baets B, Maertens J, Vanrolleghem PA. An anticipatory approach to optimal experimental design for model discrimination. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2009;95(1):53–63.
MLA
Donckels, Brecht et al. “An Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 95.1 (2009): 53–63. Print.
@article{693724,
  author       = {Donckels, Brecht and De Pauw, Dirk and De Baets, Bernard and Maertens, Jo and Vanrolleghem, Peter A},
  issn         = {0169-7439},
  journal      = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS},
  language     = {eng},
  number       = {1},
  pages        = {53--63},
  title        = {An anticipatory approach to optimal experimental design for model discrimination},
  url          = {http://dx.doi.org/10.1016/j.chemolab.2008.08.002},
  volume       = {95},
  year         = {2009},
}

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