Parameter Estimation and Statistical Methods

Abstract Parameter estimation procedures are very important in the chemical engineering field for development of mathematical models, since design, optimization, and advanced control of chemical processes usually rely on mathematical models, which in turn depend on parameter values (and respective uncertainties) obtained with help of available experimental data. For this reason, the parameter estimation problem is introduced here and discussed in terms of its three fundamental steps: the definition of the objective function, the minimization of the objective function, and the statistical analysis of the obtained results.

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