Simulation of Discrete Stochastic Processes

Georgievska, Sonja and Kon-Popovska, Margita (2001) Simulation of Discrete Stochastic Processes. In: Proceedings of the Second Conference on Informatics and Information Technology. Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 31-38. ISBN 9989-668-28-0


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Simulation is the imitation of the operation of a real-world process or system over time. As systems become more and more complicated, computer simulation tends to be the most appropriate technique for predicting the behavior of a system or finding its optimal design. Analysis of discrete stochastic processes is one field where this method is applied. As these processes include a lot of random variables, a great attention must be paid to the analysis of the output of a simulation program. Here we take a look at some of the techniques developed for this purpose.

Item Type: Book Section
Uncontrolled Keywords: distribution of a random variable, discrete stochastic processes, queuing systems, terminating systems, nonterminating systems.
Subjects: International Conference on Informatics and Information Technologies > Theoretical Foundation of CS
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15

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