Confidence interval estimation using linear combinations of overlapping variance estimators

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Confidence interval estimation using linear combinations of overlapping variance estimators

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Winter Simulation Conference archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come table of contents

Washington D.C.

SESSION: Analysis methodology A: advances in simulation output analysis table of contents

Pages 448-454

Year of Publication: 2007

ISBN:1-4244-1306-0

Authors

Tûba Aktaran-Kalayci	University at Buffalo, Buffalo, New York
David Goldsman	Georgia Institute of Technology, Atlanta, GA
James R. Wilson	North Carolina State University, Raleigh, NC

Sponsors

INFORMS-SIM : Institute for Operations Research and the Management Sciences: Simulation Society
NIST : National Institute of Standards and Technology
(SCS) : The Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery: Special Interest Group on Simulation
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/SMC : Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society

Publisher

IEEE Press Piscataway, NJ, USA

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Downloads (6 Weeks): 2, Downloads (12 Months): 27, Citation Count: 0

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abstract references collaborative colleagues

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ABSTRACT

We develop new confidence-interval estimators for the mean and variance parameter of a steady-state simulation output process. These confidence intervals are based on optimal linear combinations of overlapping estimators for the variance parameter. We present analytical and simulation-based results exemplifying the potential of this technique for improvements in accuracy for confidence intervals.

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.

	1	Aktaran-Kalayci, T. 2006. Steady-state analyses: Variance estimation in simulations and dynamic pricing in service systems. Doctoral dissertation, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia. Available via <hd1.handle.net/1853/13993> {accessed June 18, 2007}.
	2	Tûba Aktaran-Kalayci , David Goldsman, Linear combinations of overlapping variance estimators for simulations, Proceedings of the 37th conference on Winter simulation, December 04-07, 2005, Orlando, Florida
	3	Aktaran-Kalayci, T., D. Goldsman, and J. R. Wilson. 2007. Linear combinations of overlapping variance estimators for simulation. Operations Research Letters 35:439--447.
	4	Alexopoulos, C., N. T. Argon, D. Goldsman, G. Tokol, and J. R. Wilson. 2006. Overlapping variance estimators for simulation. Operations Research, to appear. Available online via <ftp.ncsu.edu/pub/eos/pub/jwilson/ovestv72.pdf> {accessed June 14, 2007}.
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Collaborative Colleagues:

Tûba Aktaran-Kalayci: colleagues

David Goldsman: colleagues

James R. Wilson: colleagues

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