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A kernel-based method to determine optimal sampling times for the simultaneous estimation of the parameters of rival mathematical models

(2009) JOURNAL OF COMPUTATIONAL CHEMISTRY. 30(13). p.2064-2077
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Keywords
dynamic modeling, optimal experimental design, mathematical models, parameter estimation, model discrimination, biokinetics, kernel functions, compromise experiment, OPTIMIZATION, DISCRIMINATION, OPTIMAL EXPERIMENTAL-DESIGN

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Chicago
Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, and Bernard De Baets. 2009. “A Kernel-based Method to Determine Optimal Sampling Times for the Simultaneous Estimation of the Parameters of Rival Mathematical Models.” Journal of Computational Chemistry 30 (13): 2064–2077.
APA
Donckels, B., De Pauw, D., Vanrolleghem, P. A., & De Baets, B. (2009). A kernel-based method to determine optimal sampling times for the simultaneous estimation of the parameters of rival mathematical models. JOURNAL OF COMPUTATIONAL CHEMISTRY, 30(13), 2064–2077.
Vancouver
1.
Donckels B, De Pauw D, Vanrolleghem PA, De Baets B. A kernel-based method to determine optimal sampling times for the simultaneous estimation of the parameters of rival mathematical models. JOURNAL OF COMPUTATIONAL CHEMISTRY. 2009;30(13):2064–77.
MLA
Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, et al. “A Kernel-based Method to Determine Optimal Sampling Times for the Simultaneous Estimation of the Parameters of Rival Mathematical Models.” JOURNAL OF COMPUTATIONAL CHEMISTRY 30.13 (2009): 2064–2077. Print.
@article{783889,
  author       = {Donckels, Brecht and De Pauw, Dirk and Vanrolleghem, Peter A and De Baets, Bernard},
  issn         = {0192-8651},
  journal      = {JOURNAL OF COMPUTATIONAL CHEMISTRY},
  language     = {eng},
  number       = {13},
  pages        = {2064--2077},
  title        = {A kernel-based method to determine optimal sampling times for the simultaneous estimation of the parameters of rival mathematical models},
  url          = {http://dx.doi.org/10.1002/jcc.21171},
  volume       = {30},
  year         = {2009},
}

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