Abstract
Do not relax: your job of preparing a satisfactory simulator is not done yet. A large number of simulation projects failed simply because their authors did not pay sufficient attention to the gathering and analysis of simulation data. In this chapter we will tackle this extremely important problem of how to obtain reliable estimates of system performance measures at a reasonable cost. Clearly, the stochastic simulation can be viewed as a statistical experiment. Unfortunately, most simulations are much more complicated statistically than the experiments which are analyzed by classical methods of statistics.
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© 1999 Springer Science+Business Media New York
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Tyszer, J. (1999). Collection and analysis of simulation results. In: Object-Oriented Computer Simulation of Discrete-Event Systems. The Kluwer International Series on Discrete Event Dynamic Systems, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5033-4_7
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DOI: https://doi.org/10.1007/978-1-4615-5033-4_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7287-5
Online ISBN: 978-1-4615-5033-4
eBook Packages: Springer Book Archive