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 language | English |
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Journal | Queueing Systems |
DOIs | |
State | Accepted/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