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Performance assessment of the anticipatory approach to optimal experimental design for model discrimination

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Mathematical models, Dynamic modeling, Model discrimination, Optimal experimental design, Rival models, Anticipatory design, Systems biology, Synthetic biology, SEQUENTIAL EXPERIMENTAL-DESIGN, COMPUTATIONAL SYSTEMS BIOLOGY, IN-SILICO BIOLOGY, PARAMETER-ESTIMATION, CRITERION

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Chicago
Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, and Bernard De Baets. 2012. “Performance Assessment of the Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” Chemometrics and Intelligent Laboratory Systems 110 (1): 20–31.
APA
Donckels, B., De Pauw, D., Vanrolleghem, P. A., & De Baets, B. (2012). Performance assessment of the anticipatory approach to optimal experimental design for model discrimination. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 110(1), 20–31.
Vancouver
1.
Donckels B, De Pauw D, Vanrolleghem PA, De Baets B. Performance assessment of the anticipatory approach to optimal experimental design for model discrimination. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2012;110(1):20–31.
MLA
Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, et al. “Performance Assessment of the Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 110.1 (2012): 20–31. Print.
@article{2135791,
  author       = {Donckels, Brecht and De Pauw, Dirk and Vanrolleghem, Peter A and De Baets, Bernard},
  issn         = {0169-7439},
  journal      = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS},
  language     = {eng},
  number       = {1},
  pages        = {20--31},
  title        = {Performance assessment of the anticipatory approach to optimal experimental design for model discrimination},
  url          = {http://dx.doi.org/10.1016/j.chemolab.2011.06.008},
  volume       = {110},
  year         = {2012},
}

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