Arrival Process Parameter Estimation is the statistical inference procedure for determining the parameters of a stochastic arrival process model based on observed event timing data, distinguishing it from other modeling steps by focusing specifically on the quantification of rate, intensity, or distributional characteristics that govern the arrival dynamics.
48
Publications
1.7K
Citations
91
Authors
62
Institutions
Publications per year
2017–2026
11
Parents
Publications
48
1–5 of 48
Authors
91
- PB
5
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- JK
4
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- PL
3
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2
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- MT
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1–5 of 91
Institutions
62
TU Dortmund University
Dortmund, Germany
5 h-index
11 publications
369 citations
Université de Montréal
Montreal, Canada
3 h-index
8 publications
197 citations
Budapest University of Technology and Economics
Budapest, Hungary
2 h-index
3 publications
107 citations
University of Toronto
Toronto, Canada
2 h-index
4 publications
52 citations
William & Mary
Williamsburg, United States
2 h-index
3 publications
110 citations
Stanford University
Stanford, United States
2 h-index
2 publications
35 citations
Illinois Institute of Technology
Chicago, United States
2 h-index
2 publications
26 citations
University of Maribor
Maribor, Slovenia
2 h-index
3 publications
49 citations
1–8 of 62
Venues
- Performance Evaluation
3 publications · 100 citations
3
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- European Journal of Operational Research
2 publications · 115 citations
2
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- IEEE/ACM Transactions on Networking
TON · 2 publications · 224 citations
2
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- Communication in Statistics- Theory and Methods
2 publications · 29 citations
2
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- Journal of Process Control
1 publications · 72 citations
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