Testing the Semi Markov Model Using Monte Carlo Simulation Method for Predicting the Network Traffic

Semi-Markov processes can be considered as a generalization of both Markov and renewal processes. One of the principal characteristics of these processes is that in opposition to Markov models, they represent systems whose evolution is dependent not only on their last visited state but on the elapse...

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Veröffentlicht in:	Pakistan journal of statistics and operation research 2020-10, Vol.16 (4), p.713-720
Hauptverfasser:	Kordnoori, Shirin, Mostafaei, Hamidreza, Kordnoori, Shaghayegh, Ostadrahimi, Mohammadmohsen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autocorrelation functions Communications traffic Computer simulation Empirical analysis Hypotheses Markov analysis Markov chains Model testing Monte Carlo simulation Probability density functions Probability distribution functions Statistical analysis Synthetic data Transition probabilities
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