Abstract
This section explores some fundamental aspects of the random (stochastic)nature of DEDS and introduces several assumptions that are typically made about it.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
3.1. Balci O., (1998), Validation, verification and testing, in The Handbook of Simulation, Chapter 10, John Wiley & Sons, New York, pp. 335–393.
3.2. Banks, J., Carson II, J.S., Nelson, B.L., and Nicol, D.M., (2005), Discrete-Event System Simulation, 4th edn., Pearson Prentice Hall, Upper Saddle River, NJ.
3.3. Biller, B. and Nelson, B.L., (2002), Answers to the top ten input modeling questions, in Proceedings of the 2002 Winter Simulation Conference.
3.4. Choi S.C. and Wette R., (1969), Maximum likelihood estimation of the paramters of the gamma distribution and their bias, Technometrics, 11: 683–690.
3.5. Couture, R. and L'Ecuyer, P. (Eds.), (1998), Special Issue on Random Variate Generation, ACM Transactions on Modeling and Simulation, 8(1).
3.6. Coveyou, R.R., (1960), Serial correlation in the generation of psuedorandom numbers, Journal of the ACM, 7: 72–74.
3.7. Harrell, C., Ghosh, B.K., and Bowden, Jr., R.O., (2004), Simulation Using ProModel, 2nd ed., McGraw-Hill, New York.
3.8. Hull, T.E. and Dobell, A.R., (1962), Random number generators, SIAM Review, 4: 230–254.
3.9. Kelton, D.W., Sadowski, R.P., and Sturrock, D.T., (2004), Simulation with Arena, 3rd ed., McGraw-Hill, New York.
3.10. Kleijnen, J.P.C., (1987), Statistical Tools for Simulation Practitioners, Marcel Dekker, New York.
3.11. Knuth, D.E., (1998), The Art of Computer Programming, Vol. 2: Seminumerical Algorithms, 3rd ed., Addison-Wesley, Reading, MA.
3.12. Law A.M. and McComas, M.G., (1997), Expertfit: Total support for simulation input modeling, in Proceedings of the 1997 Winter Simulation Conference, pp. 668–673.
3.13. Law, A.M. and Kelton, D.W., (2000), Simulation Modeling and Analysis, 3rd ed., McGraw-Hill, New York.
3.14. Leemis, L.M. and Park, S.K., (2006), Discrete Event Simulation: A First Course, Pearson Prentice Hall, Upper Saddle River, NJ.
3.15. Lehmer, D.H., (1949, 1951), Mathematical methods in large scale computing units, in Proceedings of the Second Symposium on Large-Scale Digital Calculating Machinery, 1949 and Annals Comput. Lab, 1951, vol. 26, pp. 141–146, Harvard University Press, Cambridge, MA.
3.16. Ross, S.M., (1990), A Course in Simulation, Macmillan, New York.
3.17. Rotenberg, A., (1960), A new pseudo-random number generator, Journal of the ACM, 7: 75–77.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer
About this chapter
Cite this chapter
Birta, L.G., Arbez, G. (2007). DEDS Stochastic Behaviour and Data Modelling. In: Modelling and Simulation. Springer, London. https://doi.org/10.1007/978-1-84628-622-3_3
Download citation
DOI: https://doi.org/10.1007/978-1-84628-622-3_3
Publisher Name: Springer, London
Print ISBN: 978-1-84628-621-6
Online ISBN: 978-1-84628-622-3
eBook Packages: Computer ScienceComputer Science (R0)