A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Some Modest Proposals for Simulation Software: Design and Analysis of Experiments
SS '01 Proceedings of the 34th Annual Simulation Symposium (SS01)
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 38th conference on Winter simulation
Representing and generating uncertainty effectively
Winter Simulation Conference
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Stochastic simulations involve at least some random inputs. This introductory tutorial is meant to call attention to the need to model and generate such inputs in ways that may not be the standard or defaults in simulation-modeling software. There are both dangers involved with doing things inappropriately, as well as opportunities to do things better, making for more accurate and more precise results from simulations. Specific issues include possible dependence across and within random inputs, use of empirical distributions, and non-default use of the underlying random-number generator. Suggestions for novel ways of implementing some of these ideas in simulation-modeling software are offered.