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Sensitivity analysis of discrete event systems with autocorrelated inputs

Published: 01 December 1992 Publication History
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References

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Glasserman, P. 1991. Gradient estimation via perturbation analysis, Kluwer.]]
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Heidelberger, P. 1986. Limitations of infinitesimal perturbation analysis, Manuscript, IBM T.J. Watson Research Center, Yorktown Heights, New York.]]
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Heidelberger, P., Cao, X.R., Zazanis, M.A. and Suri, R. 1988. Convergence properties of infinitesimal perturbution analysis estimates, Management Science 34:1281-1302.]]
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J agerman, D.L. and Melamed, B. 1992a. The transition and autocorrelation structure of TES processes part i: general theory, Stochastic Models (to appear).]]
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Jagerman, D.L. and Melamed, B. 1992b. The transition and autocorrelation structure of TES processes part II: special cases, Stochastic Models (to appear).]]
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Kushner, H.I. and Clarke, D.S. 1978. Stochastic approximation methods for constrained and unconstrained systems, Springer-Verlag, Applied Math. Sciences, Vol. 26.]]
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L'Ecuyer, P. 1990. A unified version of the IPA, SF, and LR gradient estimation techniques, Management Science 36:1364-1383.]]
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L'Ecuyer, P. 1992. Convergence rates for steady-state derivative estimators. Annals of Operations Research (to appear).]]
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Livny M., Melamed B. and Tsiolis A.K. 1993. The impact of autocorrelation on queuing systems. Management Science (to appear).]]
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McLeish, D.L. and Rollans, S. 1992. Conditioning for variance reduction in estimating the sensitivity of simulations. Annals of Operations Research (to appear).]]
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Melamed, B. 1991. TES: a class of methods for generating autocorrelated uniform variates, ORSA J. on Computing 3:317-329.]]
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Rubinstein, R.~. 1992a. The 'Push Out' method for sensitivity analysis of discrete event systems, Annals of Operations Research (to appear).]]
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lZubinstein, R.Y. 1992b. Decomposable score function estimators for sensitivity analysis and optimization of queueing networks, Annals of Operalions Research (to appear).]]
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Rubinstein, lZ.Y. and Shapiro, A. 1992. Discrete event systems: sensitzvzty analysis and stochastzc optimization by the score function method, Wiley, New York.]]

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cover image ACM Conferences
WSC '92: Proceedings of the 24th conference on Winter simulation
December 1992
1410 pages
ISBN:0780307984
DOI:10.1145/167293
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 December 1992

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WSC90: 1990 Winter Simulation Conference
December 13 - 16, 1992
Virginia, Arlington, USA

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