Sequential Bayesian analysis of simulation experiments

Prior information is incorporated in the analysis of simulation experiments to reduce the number of observations needed to estimate delay before service in a queuing system with a specified precision. The research extends to simulation of queuing systems a previous successful application of sequential Bayesian analysis to interrupted time series experiments. The results include methodologies that use sequential Bayesian methods for analyzing batch means as well as observations of individual entities within a single simulation run.<>