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November 2011 Probabilistic sampling of finite renewal processes
Nelson Antunes, Vladas Pipiras
Bernoulli 17(4): 1285-1326 (November 2011). DOI: 10.3150/10-BEJ321

Abstract

Consider a finite renewal process in the sense that interrenewal times are positive i.i.d. variables and the total number of renewals is a random variable, independent of interrenewal times. A finite point process can be obtained by probabilistic sampling of the finite renewal process, where each renewal is sampled with a fixed probability and independently of other renewals. The problem addressed in this work concerns statistical inference of the original distributions of the total number of renewals and interrenewal times from a sample of i.i.d. finite point processes obtained by sampling finite renewal processes. This problem is motivated by traffic measurements in the Internet in order to characterize flows of packets (which can be seen as finite renewal processes) and where the use of packet sampling is becoming prevalent due to increasing link speeds and limited storage and processing capacities.

Citation

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Nelson Antunes. Vladas Pipiras. "Probabilistic sampling of finite renewal processes." Bernoulli 17 (4) 1285 - 1326, November 2011. https://doi.org/10.3150/10-BEJ321

Information

Published: November 2011
First available in Project Euclid: 4 November 2011

zbMATH: 1229.62111
MathSciNet: MR2854773
Digital Object Identifier: 10.3150/10-BEJ321

Keywords: asymptotic normality , decompounding , finite renewal process , interrenewal times , IP flows , number of renewals , sampling , thinning

Rights: Copyright © 2011 Bernoulli Society for Mathematical Statistics and Probability

Vol.17 • No. 4 • November 2011
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