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Identification of biodegradation models under model and data uncertainty

Water Science & Technology 33(2): 91-105
Identification of biodegradation models under model and data uncertainty
In this paper a number of nonlinear parameter estimation methods are evaluated with respect to their ability to identify biodegradation models from "real-world" data Important aspects are then the sensitivity to local minima, rate of convergence, required prior knowledge and direct or indirect availability of parameter estimates uncertainty. Furthermore, it is important whether a method is robust against invalid assumptions. In addition to the final parameter values, covariance and correlation matrices, confidence intervals and residual sequences are presented to obtain information about the validity of the models and noise assumptions. Finally, recommendations on the method's applicability range are provided.

Accession: 002863337

DOI: 10.1016/0273-1223(96)00192-8

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