Article

Introduction to modeling and generating probabilistic input processes for simulation

Authors:

Michael E. Kuhl,

Natalie M. Steiger,

Mary Ann Wagner,

James R. WilsonAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 19 - 35

Published: 03 December 2006 Publication History

Abstract

Techniques are presented for modeling and generating the univariate and multivariate probabilistic input processes that drive many simulation experiments. Among univariate input models, emphasis is given to the generalized beta distribution family, the Johnson translation system of distributions, and the Bézier distribution family. Among bivariate and higher-dimensional input models, emphasis is given to computationally tractable extensions of univariate Johnson distributions. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogeneous Poisson processes.

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Cited By

Kuhl MLada EWagner MIvy JSteiger NWilson JDunkin AIngalls R(2009)Introduction to modeling and generating probabilistic input processes for simulationWinter Simulation Conference10.5555/1995456.1995488(184-202)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995488
Kuhl MLada ESteiger NWagner MWilson JJefferson TFowler JIngalls R(2008)Introduction to modeling and generating probabilistic input processes for simulationProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1516760(48-61)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1516760
Kuhl MLada ESteiger NWagner MWilson JTew J(2007)Introduction to modeling and generating probabilistic input processes for simulationProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351558(63-76)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351558
Show More Cited By

Introduction to modeling and generating probabilistic input processes for simulation
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
2. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic reasoning algorithms

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cover image ACM Conferences

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

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IIE: Institute of Industrial Engineers
ASA: American Statistical Association
IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IEEE-CS\DATC: The IEEE Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International
INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Published: 03 December 2006

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WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

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Cited By

Kuhl MLada EWagner MIvy JSteiger NWilson JDunkin AIngalls R(2009)Introduction to modeling and generating probabilistic input processes for simulationWinter Simulation Conference10.5555/1995456.1995488(184-202)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995488
Kuhl MLada ESteiger NWagner MWilson JJefferson TFowler JIngalls R(2008)Introduction to modeling and generating probabilistic input processes for simulationProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1516760(48-61)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1516760
Kuhl MLada ESteiger NWagner MWilson JTew J(2007)Introduction to modeling and generating probabilistic input processes for simulationProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351558(63-76)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351558
Kelton WTew J(2007)Representing and generating uncertainty effectivelyProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351552(38-42)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351552

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