Verification validation: model verification and validation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Output analysis: on choosing a single criterion for confidence-interval procedures
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Input modeling: input modeling
Proceedings of the 35th conference on Winter simulation: driving innovation
Building credible input models
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation output analysis: a tutorial based on one research thread
WSC '04 Proceedings of the 36th conference on Winter simulation
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th conference on Winter simulation
Seven pitfalls in modeling and simulation research
Proceedings of the Winter Simulation Conference
Towards a measurement tool for verification and validation of simulation models
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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During the more than fifty years that Monte Carlo simulation experiments have been performed on digital computers, a wide variety of myths and common errors have evolved. We discuss some of them, with a focus on probabilistic and statistical issues.