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Some subjective validation methods using graphical displays of data
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Source Winter Simulation Conference archive
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
Author
Robert G. Sargent  Simulation Research Group, College of Engineering and Computer Science, 439 Link Hall, Syracuse University, Syracuse, New York
Sponsors
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
Publisher
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.

CITED BY  14