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Event-Driven Simulation and Output Analyses

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Applied Probability and Stochastic Processes

Abstract

The versatility and popularity of discrete simulation makes simulation modeling a very powerful and, sometimes, dangerous tool. Discrete simulation is powerful because it can be used to model a wide diversity of situations, and it may be dangerous because its relative simplicity may lead to misuse and misinterpretation of results. However, with good training in the use of simulation and careful statistical analysis, discrete simulation can be used for great benefit.

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References

  1. Law, A.M. (2007). Simulation Modeling and Analysis, 4th ed., McGraw Hill, Boston.

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  2. Law, A.M., and Kelton, W.D. (1984). Confidence Intervals for Steady-State Simulations: I. A Survey of Fixed Sample Size Procedures. Operations Research, 32:1221–1239.

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  3. Schmeiser, B. (1982). Batch Size Effects in the Analysis of Simulation Output. Operations Research, 30:556–568.

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Correspondence to Richard M. Feldman .

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© 2010 Springer-Verlag Berlin Heidelberg

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Feldman, R.M., Valdez-Flores, C. (2010). Event-Driven Simulation and Output Analyses. In: Applied Probability and Stochastic Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05158-6_9

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  • DOI: https://doi.org/10.1007/978-3-642-05158-6_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05155-5

  • Online ISBN: 978-3-642-05158-6

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