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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
Data sources: zbMATH Open
Theory of Probability and Its Applications
Article . 1963 . Peer-reviewed
Data sources: Crossref
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Service Systems in Heavy Traffic

Service systems in heavy traffic
Authors: Samandarov, E. G.;

Service Systems in Heavy Traffic

Abstract

Let $\eta _n $ be the waiting time of the n-th customer arriving at a service line. It is proved that under certain conditions the distribution of $\delta \eta _n $ tends to a negative exponential distribution as $\delta \to 0$, and $n\delta ^2 \to \infty $, where $\delta = {{({\bf M}\tau - {\bf M}\chi )} / {M\tau ;}}{\bf M}\tau $ and ${\bf M}\chi $ are the mean inter-arrival time and the service time, respectively.

Keywords

probability theory

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    popularity
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    influence
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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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