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References
Banga JR, Balsa-Canto E (2008) Parameter estimation and optimal experimental design. In: Wolkenhauer O, Wellstead P, Cho KH (eds) Essays in biochemistry: systems biology, vol 45. Portland Press, London, pp 195–210
Bard Y (1974) Nonlinear parameter estimation. Academic, New York
Bardow A (2008) Optimal experimental design of ill-posed problems: the METER approach. Comp Chem Eng 32(1–2):115–124
Box GEP, Draper NR (1959) A basis for the selection of a response-surface design. J Am Stat Assoc 54(287):622–654
Draper NR, Guttman I, Lipow P (1977) All-bias designs for spline functions joined at axes. J Am Stat Assoc 72(358):424–429
Engl HW, Hanke M, Neubauer A (1996) Regularization of inverse problems. Kluwer, Dordrecht
Engl HW, Flamm C, Kügler P, Lu J, Müller S, Schuster P (2009) Inverse problems in systems biology. Inverse Probl 25(12):123014
Weese J (1992) A reliable and fast method for the solution of Fredholm integral-equations of the 1st kind based on Tikhonov regularization. Comput Phys Commun 69(1):99–111
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Bardow, A. (2013). Optimal Experiment Design, Ill-Posed Problems. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_1229
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DOI: https://doi.org/10.1007/978-1-4419-9863-7_1229
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