Statistical validation of simulation models: A case study

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Abstract

Rigorous statistical validation requires that the responses of the model and the real system have the same expected values. However, the modeled and actual responses are not comparable if they are obtained under different scenarios (environmental conditions). Moreover, data on the real system may be unavailable; sensitivity analysis can then be applied to find out whether the model inputs have effects on the model outputs that agree with the experts' intuition. Not only the total model, but also its modules may be submitted to such sensitivity analyses. This article illustrates these issues through a case study, namely a simulation model for the use of sonar to search for mines on the sea bottom. The methodology, however, applies to models in general.
Original languageEnglish
PublisherUnknown Publisher
Number of pages19
Volume1995-42
Publication statusPublished - 1995

Publication series

NameCentER Discussion Paper
Volume1995-42

Fingerprint

simulation
sonar
sensitivity analysis
environmental conditions
methodology
sea
effect

Keywords

  • Simulation Models
  • Statistical Validation
  • statistics

Cite this

Kleijnen, J. P. C. (1995). Statistical validation of simulation models: A case study. (CentER Discussion Paper; Vol. 1995-42). Unknown Publisher.
Kleijnen, J.P.C. / Statistical validation of simulation models : A case study. Unknown Publisher, 1995. (CentER Discussion Paper).
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Kleijnen, JPC 1995 'Statistical validation of simulation models: A case study' CentER Discussion Paper, vol. 1995-42, Unknown Publisher.

Statistical validation of simulation models : A case study. / Kleijnen, J.P.C.

Unknown Publisher, 1995. (CentER Discussion Paper; Vol. 1995-42).

Research output: Working paperDiscussion paperOther research output

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Kleijnen JPC. Statistical validation of simulation models: A case study. Unknown Publisher. 1995. (CentER Discussion Paper).