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Bayesian analysis of M/Er/1 and M/Hk/1 queues

Academic Article
Publication Date:
1998
abstract:
This paper describes Bayesian inference and prediction for some M/G/1 queueing models. Cases when the service distribution is Erlang, hyperexponential and hyperexponential with a random number of components are considered. Monte Carlo and Markov chain Monte Carlo methods are used for estimation of quantities of interest assuming the queue is in equilibrium.
Iris type:
01.01 Articolo in rivista
Keywords:
Bayesian analysis; Gibbs sampling; M/Er/1; [object Object; Markov chain Monte Carlo; Metropolis sampling; Monte Carlo; Reversible jump
List of contributors:
Ruggeri, Fabrizio
Handle:
https://iris.cnr.it/handle/20.500.14243/291165
Published in:
QUEUEING SYSTEMS
Journal
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URL

http://www.scopus.com/record/display.url?eid=2-s2.0-0032272599&origin=inward
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