| Some new results on the initial transient problem |
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Winter Simulation Conference
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Proceedings of the 27th conference on Winter simulation
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Arlington, Virginia, United States
Pages: 165 - 170
Year of Publication: 1995
ISBN:0-7803-3018-8
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Author
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Peter W. Glynn
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Department of Operations Research, Stanford University, Stanford, CA
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IEEE Computer Society
Washington, DC, USA
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Downloads (6 Weeks): 1, Downloads (12 Months): 9, Citation Count: 4
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ABSTRACT
This paper contains two new results pertaining to the initial transient problem for steady-state simulations. Our first result rigorously establishes the asymptotic superiority of a few long replications relative to a large number of shorter replications, assuming that no initial transient deletion is attempted. Our second result concerns an initial transient detection test proposed by Schruben; we develop asymptotics that are suggestive of the types of initial transients that the test is capable of detecting. As one might expect, the ability to detect a non-stationarity in the simulation output depends both on the magnitude of the non-stationarity of the initial condition, and the degree of autocorrelation in the process.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CsSrgS, M. and P. R@v@sz. 1981. Strong approximations in probability and statistics. Academic Press, New York.
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Glynn, Peter W. 1984. Some asymptotic formulas for Markov chains with applications to simulation. Journal of Statistical Computation and Simulation 19:97-112.
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Glynn, Peter W. 1987. Limit theorems for the method of replication. Stochastic Models 4:343-350.
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Lindvall, T. 1992. Lectures on the Coupling Method. John Wiley, New York.
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Meyn, S. P. and R. L. Tweedie. 1993. Markov chains and stochastic stability. Springer-Verlag, New York.
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Philipp, W. and W. Stout. 1975. Almost sure invariance principles for partial sums of weakly dependent random variables. Mem. Amer. Math. Soc. No. 161.
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Schruben, L. W. 1982. Detecting initialization bias in simulation output. Operations Research 30:569- 590.
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