| Some subjective validation methods using graphical displays of data |
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Winter Simulation Conference
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Proceedings of the 28th conference on Winter simulation
table of contents
Coronado, California, United States
Pages: 345 - 351
Year of Publication: 1996
ISBN:0-7803-3383-7
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Author
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Robert G. Sargent
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Simulation Research Group, College of Engineering and Computer Science, 439 Link Hall, Syracuse University, Syracuse, New York
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IEEE Computer Society
Washington, DC, USA
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Downloads (6 Weeks): 6, Downloads (12 Months): 22, Citation Count: 14
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ABSTRACT
Subjective methods for operational validity are presented that use graphical displays of histograms, box plots, and behavior graphs. These methods allow the data to be correlated, have any statistical distribution, and be limited in the number of observations. Model data are used for the reference distribution (instead of a theoretical distribution such as the t or F) and for reference to compare the system data against. These methods are very general and can be used in validating different types of models.
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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Anderson, H. and It. Sargent (1974). An investigation into scheduling for an interactive computer system. IBM journal of research and development 18(2), 125-137.
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Box, G., W. Hunter, and J. Hunter (1978). Statistics for experimenters. John Wiley and Sons.
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Johnson, R. (1994). Miller and Freund's probability and statistics for engineers (5th ed.). Prentice Hall.
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Walpole, 1~. and R. Myers (1993). Probability and statistics for engineers and scientists (Sth ed.). Macmillan Publishing Company.
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CITED BY 14
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Sammuel A. Wright , Kenneth W. Bauer, Jr., Covalidation of dissimilarly structured models, Proceedings of the 29th conference on Winter simulation, p.311-318, December 07-10, 1997, Atlanta, Georgia, United States
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Robert G. Sargent, Verification, validation, and accreditation: verification, validation, and accreditation of simulation models, Proceedings of the 32nd conference on Winter simulation, December 10-13, 2000, Orlando, Florida
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