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Output interpretation: some myths and common errors in simulation experiments

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Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents

Arlington, Virginia

TUTORIAL SESSION: Introductory tutorials table of contents

Pages: 39 - 46

Year of Publication: 2001

ISBN:0-7803-7309-X

Author

Bruce W. Schmeiser

Purdue University, West Lafayette, IN

Sponsors

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

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 18, Citation Count: 7

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ABSTRACT

During the more than fifty years that Monte Carlo simulation experiments have been performed on digital computers, a wide variety of myths and common errors have evolved. We discuss some of them, with a focus on probabilistic and statistical issues.

CITED BY 7

	John S. Carson, II, Verification validation: model verification and validation, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Bruce Schmeiser , Yingchieh Yeh, Output analysis: on choosing a single criterion for confidence-interval procedures, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Bruce Schmeiser, Simulation output analysis: a tutorial based on one research thread, Proceedings of the 36th conference on Winter simulation, December 05-08, 2004, Washington, D.C.
	Lawrence Leemis, Input modeling: input modeling, Proceedings of the 35th conference on Winter simulation: driving innovation, December 07-10, 2003, New Orleans, Louisiana
	Lawrence M. Leemis, Building credible input models, Proceedings of the 36th conference on Winter simulation, December 05-08, 2004, Washington, D.C.
	Russell R. Barton , Stephen E. Chick , Russell C. H. Cheng , Shane G. Henderson , Averill M. Law , Bruce W. Schmeiser , Lawrence M. Leemis , Lee W. Schruben , James R. Wilson, Panel discussion on current issues in input modeling: panel on current issues in simulation input modeling, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Stewart Robinson, Conceptual modeling for simulation: issues and research requirements, Proceedings of the 37th conference on Winter simulation, December 03-06, 2006, Monterey, California