Page 101 - DCAP601_SIMULATION_AND_MODELING

Unit 6: Discrete System Simulation (III)

9. Make an analysis on Monte Carlo as a Procedure. Notes

10. Give the various methods employing Monte Carlo.

Answers: Self Assessment

1. Mathematical 2. Event 3. Linear Congruential
4. uniform 5. cumulative 6. logical inverse
7. ziggurat 8. experiments 9. partial
10. physical 11. risk 12. random numbers

13. artificial intelligence 14. single-point 15. low contribution
6.7 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 and simulation applications,
ACM Transactions on 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 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 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 link http://oxford-mphil.com/images/f/fc/Simulation-econometrics.pdf

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