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<p>The Synthetic Theater Operations Research Model (STORM) is the primary campaign analysis tool used by the Office of the Chief of Naval Operations, Assessment Division (OPNAV N81) and other Department of Defense organizations to aid in providing analysis to top-level officials on force structures, operational concepts, and military capabilities. This thesis describes how STORM works, analyzes the variability associated with many replications, and evaluates the trade-off between the expected number of replications and the precision and probability of coverage of confidence intervals. The results of this research provide OPNAV 81 with the ability to capitalize on STORM’s full potential on a time-line conducive to its high-paced environment. The distribution of outcomes is examined via standard statistical techniques for multiple metrics. All metrics appear to have sufficient variability, which is critical in modeling the combat environment. The trade-off for confidence intervals between the expected number of replications, precision, and the probability of coverage is very important. If a more precise solution and a higher probability of coverage are required, more replications are generally needed. This relationship is explored and a framework is provided to conduct this analysis on simulation output data.
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<br>Subjects: Synthetic Theater Operations Research Model (STORM); N81; campaign-level simulation; stopping rules; confidence interval procedures; StormMiner; simulation</div>
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Seymour, Christian N.</div>
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