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    Electronic Resource
    Electronic Resource
    Bayesian analysis of M/Er/1 and M/H_k/1 queues (1998)
    Springer
    Queueing systems 30 (1998), S. 289-308 
    Details
    ISSN: 1572-9443
    Keywords: Bayesian analysis ; M/Er/1 ; M/H_k/1 ; Monte Carlo ; Markov chain Monte Carlo ; Gibbs sampling ; Metropolis sampling ; reversible jump
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: 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.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1019173206509
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