WSC '95 Proceedings of the 27th conference on Winter simulation
How simulation languages should report results: a modest proposal
Winter Simulation Conference
A new perspective on batched quantile estimation
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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The focus on mean (long-run average) performance as the primary output measure produced by simulation experiments diminishes the usefulness of simulation for characterizing risk. Confidence intervals on means are often misinterpreted as measures of future risk, when in fact they are measures of error. We introduce the Measure of Risk & Error (MORE) plot as a way to display and make intuitive the concepts of risk and error and thus support sound experiment design and correct decision making.