Bayes Estimation of Traffic Intensity in M/M/1 Queue under a New Weighted Square Error Loss Function

Hai Ping Ren; Jin Ping Li

doi:10.4028/www.scientific.net/AMR.485.490

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Bayes Estimation of Traffic Intensity in M/M/1 Queue under a New Weighted Square Error Loss Function

Abstract:

Bayesian estimator of the traffic intensity in an M/M/1 queue is derived under a new weighted square error loss function. The Bayes estimators are obtained by using two different priors of the traffic intensity,namely,quasi-prior and beta prior. Finally, a Monte Carelo numerical simulation is used to compare these Bayes estimators with the corresponding maximum likelihood estimators.

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Periodical:

Advanced Materials Research (Volume 485)

Pages:

490-493

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.485.490

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Online since:

February 2012

Authors:

Hai Ping Ren, Jin Ping Li

Keywords:

Bayes Estimator, M/M/1 Queue, Traffic Intensity, Weighted Square Error Loss Function

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References

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