Optimal Experimental Design, Model Discrimination
The problem of model discrimination arises when several models are proposed to describe one and the same process. To identify the best model from the set of rival models, it may be necessary to collect new information about the process, and thus, additional experiments have to be performed.
Optimal experimental design for model discrimination refers to the experimental design methodologies that are used to find the experimental conditions that allow to discriminate among rival models with the least experimental effort.
The aim of any modeling exercise is to obtain a mathematical modelthat adequately describes and even predicts the process behavior. However, it is important to realize that lack of insight in the modeled process may result in the proposal of several so-called rival models, each of which represents a certain hypothesis of how the process works. The problem of identifying the best model from a set of rival models is...
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