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Chapter 7
Data Validation
Models are created by people and people make mistakes. For this reason, it is neces-
sary to validate both the contents and the utility of a model. As has been noted in
previous chapters, models should be complete, correct, and concise to be effective.
Accuracy and completeness are necessary attributes of a correct model, whereas
utility and maintainability are attributes of an effective model. To ensure that a
model has these attributes, a thorough review and verification procedure should
be conducted. ere are at least four good techniques to validate a model: team
reviews, simulation, testing, and direct application. ...