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NONPARAMETRIC ESTIMATION OF THE SERVICE TIME DISTRIBUTION IN THE M/G/∞ QUEUE

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1117-1138
Number of pages22
JournalAnnals of Applied Probability
Volume48
Issue number4
DOIs
StatePublished - 2025

Bibliographical note

Publisher Copyright:
© Applied Probability Trust 2017.

Keywords

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

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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