Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/68671
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Type: Journal article
Title: Estimation for queues from queue length data
Author: Ross, J.
Taimre, T.
Pollett, P.
Citation: Queueing Systems: Theory and Applications, 2007; 55(2):131-138
Publisher: Kluwer Academic Publishers
Issue Date: 2007
ISSN: 0257-0130
1572-9443
Statement of
Responsibility: 
J. V. Ross, T. Taimre, P. K. Pollett
Abstract: We consider the estimation of arrival and service rates for queues based on queue length data collected at successive, not necessarily equally spaced, time points. In particular, we consider the M/M/c queue, for c large, but application of the method to the repairman problem is almost identical, and the general approach presented should extend to other queue types. The estimation procedure makes use of an Ornstein-Uhlenbeck diffusion approximation to the Markov process description of the queue. We demonstrate the approach through simulation studies and discuss situations in which the approximation works best. © Springer Science+Business Media, LLC 2007.
Keywords: Diffusion approximation
M/M/c queues
Maximum likelihood
Queue length
Rate estimation
Traffic intensity
Rights: © Springer Science+Business Media, LLC 2007
DOI: 10.1007/s11134-006-9009-2
Published version: http://dx.doi.org/10.1007/s11134-006-9009-2
Appears in Collections:Aurora harvest
Mathematical Sciences publications

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