Stochastic simulation
Statistical group testing with queueing involved
Queueing Systems: Theory and Applications
A subjective Bayesian approach to the theory of queues I—Modeling
Queueing Systems: Theory and Applications
A subjective Bayesian approach to the theory of queues II—Inference and information in M/M/1 queues
Queueing Systems: Theory and Applications
Large sample inference from single server queues
Queueing Systems: Theory and Applications
Stochastic models in queueing theory
Stochastic models in queueing theory
The Fourier-series method for inverting transforms of probability distributions
Queueing Systems: Theory and Applications - Numerical computations in queues
Empirical Bayes estimation for queueing systems and networks
Queueing Systems: Theory and Applications
Computational methods in queueing
Frontiers in queueing
Statistical analysis of queueing systems
Frontiers in queueing
Queueing Systems: Theory and Applications
Bayesian analysis of M/Er/1 and M/H_k/1 queues
Queueing Systems: Theory and Applications
Computational Statistics & Data Analysis
Markovian bulk-arrival and bulk-service queues with state-dependent control
Queueing Systems: Theory and Applications
Queueing Systems: Theory and Applications
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This paper deals with the statistical analysis of bulk arrival queues from a Bayesian point of view. The focus is on prediction of the usual measures of performance of the system in equilibrium. Posterior predictive distribution of the number of customers in the system is obtained through its probability generating function. Posterior distribution of the waiting time, in the queue and in the system, of the first customer of an arriving group is expressed in terms of their Laplace and Laplace–Stieltjes transform. Discussion of numerical inversion of these transforms is addressed.