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- W2332292489 abstract "Monte Carlo simulations are used in many disciplines to evaluate the steady state distributions of stochastic models. This paper introduces a new procedure for improving the accuracy of such simulations. The approach is based on constructing synthetic “alignment intervals” that are appended to the output of the original simulations, creating extended simulations whose output conforms to certain mathematical relationships. Satisfying these relationships is shown to be sufficient to guarantee that the underlying steady state distributions have been computed accurately." @default.
- W2332292489 created "2016-06-24" @default.
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- W2332292489 date "2007-06-04" @default.
- W2332292489 modified "2023-09-24" @default.
- W2332292489 title "Improving Simulation Accuracy Through The Use Of Synthetic Alignment Intervals" @default.
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- W2332292489 doi "https://doi.org/10.7148/2007-0489" @default.
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