Description
This coherent introduction to the techniques employed for modeling dynamic, stochastic systems also provides a guide to the mathematical, numerical and simulation tools used in systems analysis. The text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Chapters open with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. 1995 ed. Appendix. References. Index.

Author: Nelson

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