Digital Library

of the European Council for Modelling and Simulation



Improving Simulation Accuracy Through The Use Of

Synthetic Alignment Intervals


Jeffrey P. Buzen

Published in:


ECMS 2007 Proceedings

Edited by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni


ISBN: 978-0-9553018-2-7

Doi: 10.7148/2007


21st European Conference on Modelling and Simulation,

Prague, June 4-6, 2007


Citation format:

Buzen, J. P. (2007). Improving Simulation Accuracy Through The Use Of Synthetic Alignment Intervals. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 489-496). European Council for Modeling and Simulation. doi:10.7148/2007-0489.



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.

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