Adaptive minimax estimation of service time distribution in the Mt/G/∞ queue from departure data

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Abstract

This article deals with the problem of estimating the service time distribution of the Mt/G/∞ queue from observation of the departure epochs. We develop minimax optimal estimators of G and study behavior of the minimax pointwise risk over a suitable family of service time distribution functions. In addition, we address the problem of adaptive estimation and propose a data–driven estimation procedure that adapts to unknown smoothness of the service time distribution function G. Lastly, a numerical study is presented to illustrate practical performance of the developed adaptive procedure.

Original languageEnglish
JournalQueueing Systems
DOIs
StateAccepted/In press - 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • 60K25
  • 62G05
  • Adaptive estimation
  • Deconvolution
  • Laplace transform
  • M/G/∞ queue
  • Minimax risk
  • Poisson process

ASJC Scopus subject areas

  • Statistics and Probability
  • Computer Science Applications
  • Management Science and Operations Research
  • Computational Theory and Mathematics

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