Statistical tools for simulation practitioners
Statistical tools for simulation practitioners
A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Variance reduction for simulation practitioners
WSC '87 Proceedings of the 19th conference on Winter simulation
A Bonferroni selection procedure when using commom random numbers with unknown variances
WSC '86 Proceedings of the 18th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
So you have your model: what to do next. A tutorial on simulation output analysis
Proceedings of the 30th conference on Winter simulation
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A fundamental use for system simulation is to predict system performance in new situations or with new system designs. In other words, the analyst uses simulation to aid in answering “what if” questions. We say that simulation is used to compare alternatives. This tutorial assumes that the simulation output is stochastic and has a distribution that is unknown to the analyst. The tutorial presents methods for making comparisons by either ranking alternatives or selecting the best alternative with respect to a single output performance measure. To increase the effectiveness of the comparisons, these methods consider the use of the variance reduction technique of common random numbers.