Importance sampling for stochastic simulations
Management Science
Introduction to queueing theory (2nd ed)
Introduction to queueing theory (2nd ed)
Bounded relative error in estimating transient measures of highly dependable non-Markovian systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Rare-event simulation for multistage production-inventory systems
Management Science
Multiservice Loss Models for Broadband Telecommunication Networks
Multiservice Loss Models for Broadband Telecommunication Networks
Queueing Systems: Theory and Applications
Fast Simulation of Markov Chains with Small Transition Probabilities
Management Science
Multichannel Stochastic Networks under Critical Load Conditions
Cybernetics and Systems Analysis
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A multiserver queuing system with recurrent input flows is considered. A fast simulation method is proposed for evaluation of stationary loss probability. It is based on the joint use of importance sampling and the central limit theorem. The estimates are asymptotically unbiased. Two examples demonstrate high accuracy of the estimates.