ABSTRACT
Validation is the testing of models to determine if they are functionally representative of the process or item of interest. Design of Experiments (DoE) for model validation has a different objective from the DoE to determine coefficient values for screening models. The purpose of DoE in this chapter is to generate the data that is useful for critically testing the functionality of a model. Some examples of desired and undesired features in the experimental design will be illustrations from the Rhinehart PhD Thesis. In some designed experiments it might not be possible to impose strict controls. There are many ways to test theories including retrospective studies, observational studies, and designed experiments. Designed experiments on laboratory physical or chemical processes rarely have ethical or legal constraints, and all of the suspected inputs that might have an effect on the outcome can be controlled.
