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
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