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Estimation of Traffic Intensity Parameter and Stationarity Probability of M/M/c Queuing System Under a Stop Time in the System
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Shahram Yaghoobzadeh *    |
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Abstract: (1925 Views) |
| In this article, it is assumed that the arrival rate of customers to the queuing system M/M/c has an exponential distribution with parameter $lambda$ and the service rate of customers has an exponential distribution with parameter $mu$ and is independent of the arrive rate. It is also assumed that the system is active until time T. Under this stopping time, maximum likelihood estimation and bayesian estimation under general entropy loss functions and weighted error square, as well as under-informed and uninformed prior distributions, the system traffic intensity parameter M/M/c and system stationarity probability are obtained. Then the obtained estimators are compared by Monte Carlo simulation and a numerical example to determine the most suitable estimator. |
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| Keywords: Traffic intensity parameter, System reliability probability, The M/M/c queuing system, Stop time, General entropy loss function, Weighted error square loss function. |
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Full-Text [PDF 246 kb]
(1636 Downloads)
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Type of Study: Research |
Subject:
Statistical Inference
Received: 2022/10/6 | Accepted: 2023/09/1 | Published: 2023/07/11
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