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Queueing Systems
Article . 1995 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1995
Data sources: zbMATH Open
DBLP
Article . 1995
Data sources: DBLP
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Estimation of retrial rate in a retrial queue

Authors: Gennadi Falin;

Estimation of retrial rate in a retrial queue

Abstract

Describing the time evolution of a purely exponential retrial queue by a two-dimensional vector (number of call attempts since last departure, number of calls in retrial queue) yields a nonstandard Markovian description of the system's time evolution. The second coordinate of this process determines essentially the retrial rate, but is not accessible to observations. So the estimation of the retrial rate must be done indirectly. It suffices to count the external arrivals (primary calls) and the first coordinate of the new process to obtain a strongly consistent estimator of the arrival rate. The asymptotic variance of the estimator is computed.

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Keywords

estimation of the retrial rate, Applications of queueing theory (congestion, allocation, storage, traffic, etc.), Markov processes: estimation; hidden Markov models, retrial queue, steady-state, Queues and service in operations research, Queueing theory (aspects of probability theory)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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