Resampling Methods For Queueing

Resampling Methods for Queueing is a computational statistical framework that belongs to the class of simulation-based inference techniques, specifically designed to estimate performance metrics in single-server queueing systems by repeatedly drawing samples from empirical or simulated data to assess variability and uncertainty in queueing dynamics.

10

Publications

286

Citations

22

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

22

  1. TR
    Thomas R. Willemain

    Rensselaer Polytechnic Institute, United States

    2 publications · 35 citations

    2

    h-index

  2. RC
    Russell Cheng

    University of Southampton, United Kingdom

    2 publications · 30 citations

    2

    h-index

  3. LW
    Lee W. Schruben

    Cornell University, United States

    2 publications · 118 citations

    2

    h-index

  4. RR
    Russell R. Barton

    Pennsylvania State University, United States

    2 publications · 118 citations

    2

    h-index

  5. LL
    Linda Lee Ho

    Universidade de São Paulo, Brazil

    1 publications · 46 citations

    1

    h-index

1–5 of 22

Venues

  1. 2

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  2. 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165)

    Conference · 1 publications · 11 citations

    1

    h-index

  3. IIE Transactions

    1 publications · 16 citations

    1

    h-index

  4. Applied Mathematics and Computation

    1 publications · 22 citations

    1

    h-index

  5. Annals of Operations Research

    1 publications · 24 citations

    1

    h-index

1–5