The impact of transients on simulation variance estimators

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The impact of transients on simulation variance estimators

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Winter Simulation Conference archive
Proceedings of the 29th conference on Winter simulation table of contents

Atlanta, Georgia, United States

Pages: 234 - 239

Year of Publication: 1997

ISBN:0-7803-4278-X

Authors

Daniel H. Ockerman	Retek Information Systems, 7 Piedmont Center, Suite 501, Atlanta, GA
David Goldsman	School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA

Sponsors

IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : Society for Computer Simulation
ASA : American Statistical Association
IEEE : Institute of Electrical and Electronics Engineers

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 10, Citation Count: 2

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references cited by index terms collaborative colleagues

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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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	2	Billingsley, P. 1968. Convergence of Probability Measures. New York: John Wiley & Sons.
	3	Charles R. Cash , Barry L. Nelson , David G. Dippold , J. Mark Long , William P. Pollard, Evaluation of tests for initial-condition bias, Proceedings of the 24th conference on Winter simulation, p.577-585, December 13-16, 1992, Arlington, Virginia, United States [doi>10.1145/167293.167640]
	4	Chance, F. 1993. A historical review of the initial transient problem in discrete event simulation literature. Technical Report. School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York.
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	6	Peter W. Glynn , Donald L. Iglehart, A new initial bias deletion rule, Proceedings of the 19th conference on Winter simulation, p.318-319, December 14-16, 1987, Atlanta, Georgia, United States [doi>10.1145/318371.318439]
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	11	Heidelberger, P. and P. D. Welch. 1983. Simulation run length control in the presence of an initial transient. Operations Research 3 1: I 109- 1145.
	12	Kelton, W. D. and A. M. Law. 1983. A new approach for dealing with the startup problem in discrete event simulation. Naval Research Logistics Quarterly 30: 641-658.
	13	Law, A. M. 1983. Statistical analysis of simulation output data. Operations Research 3 1: 983- 1029.
	14	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	15	Ockerman, D. H. and D. Goldsman. 1996. Tests for transients in simulated time series based on Lp-norm variance estimators. Technical Report. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
	16	Krzysztof Pawlikowski, Steady-state simulation of queueing processes: survey of problems and solutions, ACM Computing Surveys (CSUR), v.22 n.2, p.123-170, June 1990 [doi>10.1145/78919.78921]
	17	Schruben, L. W. 1982. Detecting initialization bias in simulation output. Operations Research 30: 569-590.
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	19	Schruben, L. W., H. Singh, and L. Tierney. 1983. Optimal tests for initialization bias in simulation output. Operations Research 3 1: 1167- 1178.
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	21	Gamze Tokol , David Goldsman , Daniel H. Ockerman , James J. Swain, Standardized Time Series L_P-Norm Variance Estimators for Simulations, Management Science, v.44 n.2, p.234-245, February 1998 [doi>10.1287/mnsc.44.2.234]
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CITED BY 2

	Samuel Kounev , Alejandro Buchmann, SimQPN: a tool and methodology for analyzing queueing Petri net models by means of simulation, Performance Evaluation, v.63 n.4, p.364-394, May 2006
	Peter W. Glynn, Initial transient problem for steady-state output analysis, Proceedings of the 37th conference on Winter simulation, December 04-07, 2005, Orlando, Florida