December 2016 Nonparametric estimation of the service time distribution in the M/G/∞ queue
Alexander Goldenschluger
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Adv. in Appl. Probab. 48(4): 1117-1138 (December 2016).

Abstract

The subject of this paper is the problem of estimating the service time distribution of the M/G/∞ queue from incomplete data on the queue. The goal is to estimate G from observations of the queue-length process at the points of the regular grid on a fixed time interval. We propose an estimator and analyze its accuracy over a family of target service time distributions. An upper bound on the maximal risk is derived. The problem of estimating the arrival rate is considered as well.

Citation

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Alexander Goldenschluger. "Nonparametric estimation of the service time distribution in the M/G/∞ queue." Adv. in Appl. Probab. 48 (4) 1117 - 1138, December 2016.

Information

Published: December 2016
First available in Project Euclid: 24 December 2016

zbMATH: 1356.62125
MathSciNet: MR3595768

Subjects:
Primary: 62G05
Secondary: 60K25 , 62M09

Keywords: covariance function , M/G/∞ queue , minimax risk , nonparametric estimation , rates of convergence , stationary process

Rights: Copyright © 2016 Applied Probability Trust

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Vol.48 • No. 4 • December 2016
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