Discrimination and goodness of fit of multiresponse mechanistic models

W. E. Stewart · Youkang Shon · George E. P. Box

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Optimal Experimental Design Methods Control Systems and Identification Statistical Methods and Bayesian Inference

Abstract

Abstract Criteria are derived for objective choice among rival models of multiresponse processes. Formulas are given for the relative posterior probabilities of candidate models and for their goodness of fit as tested on a common data set with Normally distributed errors. The formulas are demonstrated with examples from chemical kinetics and catalysis.

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1959DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS 1967Discrimination Among Mechanistic Models 1992Parameter estimation from multiresponse data

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2004T-Optimum Designs for Discrimination Between Two Multiresponse Dynamic Models 2016A joint model-based experimental design approach for the identification of kinetic models in continuous flow laboratory reactors

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