About this chapter
A simulation that runs as programmed has passed a different test from a simulation that adequately represents a system for its intended use. Ledwith and colleagues distinguish verification from validation and survey how the latter has been approached. The chapter considers conceptual and operational validity, sources of uncertainty, graphical comparisons, statistical procedures, and several kinds of validation metrics. Expert judgment and the purpose of the model remain part of the problem rather than disappearing when a test statistic is computed. Readers can use this review to identify possible evidence for a validation argument and the limits of treating any single comparison as conclusive.
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Companion reading noteFrom data to a defensible modelCite this contribution
Matthew C. Ledwith; Raymond R. Hill; Lance E. Champagne; Edward D. White. (2024). Simulation Validation Literature Review. In Natalie M. Scala & James P. Howard, II (Eds.), Handbook of Military and Defense Operations Research (2nd ed., pp. 383–414). Chapman & Hall/CRC. https://doi.org/10.1201/9781003396307-15
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