Displaying similar documents to “Computational schemes for two exponential servers where the first has a finite buffer”

A discrete-time Geo/G/1 retrial queue with general retrial time and M-additional options for service

Muthukrishnan Senthil Kumar (2011)

RAIRO - Operations Research

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This paper concerns a discrete time Geo/G/1 retrial queue with general retrial time in which all the arriving customers require first essential service with probability α 0 while only some of them demand one of other optional services: − ( = 1, 2, 3,...) service with probability α r . The system state distribution, the orbit size and the system size distributions are obtained in terms of generating functions. The stochastic decomposition law holds for the proposed model. Performance...

A discrete-time Geo/G/1 retrial queue with general retrial time and M-additional options for service

Muthukrishnan Senthil Kumar (2011)

RAIRO - Operations Research

Similarity:

This paper concerns a discrete time Geo/G/1 retrial queue with general retrial time in which all the arriving customers require first essential service with probability α 0 while only some of them demand one of other optional services: − ( = 1, 2, 3,...) service with probability α r . The system state distribution, the orbit size and the system size distributions are obtained in terms of generating functions. The stochastic decomposition law holds for the proposed model. Performance...

On the asymptotic properties of a simple estimate of the Mode

Christophe Abraham, Gérard Biau, Benoît Cadre (2010)

ESAIM: Probability and Statistics

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We consider an estimate of the mode of a multivariate probability density with support in d using a kernel estimate drawn from a sample . The estimate is defined as any in {} such that f n ( x ) = max i = 1 , , n f n ( X i ) . It is shown that behaves asymptotically as any maximizer θ ^ n of . More precisely, we prove that for any sequence ( r n ) n 1 of positive real numbers such that r n and r n d log n / n 0 , one has r n θ n - θ ^ n 0 in probability. The asymptotic normality of follows without further work.