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The TES methodology: modeling empirical stationary time series

Authors:

Benjamin Melamed,

Jon R. Hill,

David GoldsmanAuthors Info & Claims

WSC '92: Proceedings of the 24th conference on Winter simulation

Pages 135 - 144

https://doi.org/10.1145/167293.167319

Published: 01 December 1992 Publication History

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References

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Lin ZJain AWang CFanti GSekar V(2020)Using GANs for Sharing Networked Time Series DataProceedings of the ACM Internet Measurement Conference10.1145/3419394.3423643(464-483)Online publication date: 27-Oct-2020
https://dl.acm.org/doi/10.1145/3419394.3423643
Lam H(2018)Sensitivity to Serial Dependency of Input ProcessesManagement Science10.1287/mnsc.2016.266764:3(1311-1327)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1287/mnsc.2016.2667
Lam HHuschka TChick S(2016)Advanced tutorialProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042128(178-192)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042128
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The TES methodology: modeling empirical stationary time series

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WSC '92: Proceedings of the 24th conference on Winter simulation

December 1992

1410 pages

ISBN:0780307984

DOI:10.1145/167293

Chairman:
Robert C. Crain
Wolverine Software Corporation, Annandale, VA

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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Cited By

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Lin ZJain AWang CFanti GSekar V(2020)Using GANs for Sharing Networked Time Series DataProceedings of the ACM Internet Measurement Conference10.1145/3419394.3423643(464-483)Online publication date: 27-Oct-2020
https://dl.acm.org/doi/10.1145/3419394.3423643
Lam H(2018)Sensitivity to Serial Dependency of Input ProcessesManagement Science10.1287/mnsc.2016.266764:3(1311-1327)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1287/mnsc.2016.2667
Lam HHuschka TChick S(2016)Advanced tutorialProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042128(178-192)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042128
Lam H(2016)Advanced tutorial: Input uncertainty and robust analysis in stochastic simulation2016 Winter Simulation Conference (WSC)10.1109/WSC.2016.7822088(178-192)Online publication date: Dec-2016
https://doi.org/10.1109/WSC.2016.7822088
Diaz RBailey M(2011)Building knowledge to improve enterprise performance from inventory simulation modelsInternational Journal of Production Economics10.1016/j.ijpe.2011.05.024134:1(108-113)Online publication date: Nov-2011
https://doi.org/10.1016/j.ijpe.2011.05.024
Biller BNelson B(2008)Evaluation of the ARTAFIT Method for Fitting Time-Series Input Processes for SimulationINFORMS Journal on Computing10.1287/ijoc.1070.026120:3(485-498)Online publication date: 1-Jul-2008
https://dl.acm.org/doi/10.1287/ijoc.1070.0261
Biller BNelson B(2005)Fitting Time-Series Input Processes for SimulationOperations Research10.1287/opre.1040.019053:3(549-559)Online publication date: 1-May-2005
https://dl.acm.org/doi/10.1287/opre.1040.0190
Biller BGhosh S(2004)Dependence modeling for stochastic simulationProceedings of the 36th conference on Winter simulation10.5555/1161734.1161770(153-161)Online publication date: 5-Dec-2004
https://dl.acm.org/doi/10.5555/1161734.1161770
Biller BGhosh S(2004)Dependence Modeling for Stochastic SimulationProceedings of the 2004 Winter Simulation Conference, 2004.10.1109/WSC.2004.1371312(147-155)Online publication date: 2004
https://doi.org/10.1109/WSC.2004.1371312
Biller BNelson B(2003)Modeling and generating multivariate time-series input processes using a vector autoregressive techniqueACM Transactions on Modeling and Computer Simulation10.1145/937332.93733313:3(211-237)Online publication date: 1-Jul-2003
https://dl.acm.org/doi/10.1145/937332.937333
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