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
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2017–2026
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Rensselaer Polytechnic Institute
Troy, United States
2 h-index
6 publications
105 citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
118 citations

National Taichung University of Science and Technology
Taichung, Taiwan
1 h-index
2 publications
44 citations

Ghent University
Ghent, Belgium
1 h-index
3 publications
72 citations
University of Virginia
Charlottesville, United States
1 h-index
2 publications
22 citations
Engineering Systems (United States)
Omaha, United States
1 h-index
3 publications
57 citations
University of Kent
Canterbury, United Kingdom
1 h-index
3 publications
57 citations
Czech Academy of Sciences, Institute of Mathematics
Prague, Czechia
1 h-index
3 publications
57 citations
1–8 of 14
2 publications · 65 citations
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Conference · 1 publications · 11 citations
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1 publications · 16 citations
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1 publications · 22 citations
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1 publications · 24 citations
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