Page 241 - DCAP601_SIMULATION_AND_MODELING

Unit 12: Design and Evaluation of Simulation Experiments (II)

Answers: Self Assessment Notes

1. Line-edge 2. simulating experimenter
3. Data collection 4. experimental design
5. queuing model 6. stochastic processes
7. exponential 8. independent replications
9. asymptotic bias 10. Validation
11. empirical 12. gender
13. outcomes 14. Predictive validity
15. simulation models

12.9 Further Readings

Books Balci, O.,(1994), Validation, verification, and testing techniques throughout the
life cycle of a simulation study, Annals of Operations Research, 53: 121–173.
Balci, O., (2001), A methodology for certification of modeling and simulation
applications, ACM Transactions on Modeling and Computer Simulation, 11: 352–
377.
Birta, L.G. and Ozmizrak, N.F., (1996), A knowledge-based approach for the
validation of simulation models: The foundation, ACM Transactions on Modeling
and Computer Simulation, 6: 67–98.
Boehm, B.W., (1979), Software engineering: R&D trends and defense needs, in: P.
Wegner (Ed.), Research Directions in Software Technology, MIT Press, and
Cambridge, MA.
Cellier, F.E., (1986), Combined discrete/continuous system simulation –
application, techniques and tools, in Proceedings of the 1986 Winter Simulation
Conference.
Department of Defense (DoD) Recommended Practices Guide (RPG) for Modeling
and Simulation VV&A, Millennium Edition (available at http://vva.dmso.mil).
General Accounting Office, (1976), Report to the Congress: Ways to improve
management of federally funded computerized models, report LCD-75-111, U.S.
General Accounting Office, Washington, DC.
General Accounting Office, (1979), Guidelines for model evaluation, report PAD-
79-17, U.S. General Accounting Office, Washington, DC.
General Accounting Office, (1987), DOD simulations: Improved assessment
procedures would increase the credibility of results, report GAO/PEMD-88-3,
U.S. General Accounting Office, and Washington, DC.
Ören, T.I., (1981), Concepts and criteria to access acceptability of simulation studies,
Communications of the ACM, 24: 180–189.

Online links http://portal.acm.org/citation.cfm?id=76751
http://en.wikipedia.org/wiki/Variance_reduction

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