Arrival Rate Estimation

Arrival Rate Estimation is a stochastic modeling technique used in queueing theory and operations research that specifically quantifies the expected frequency of incoming events or entities over time within an arrival process, distinguishing itself by its focus on inferring or approximating the rate parameter of the underlying probabilistic arrival mechanism from empirical or observed data.

163

Publications

7.8K

Citations

374

Authors

196

Institutions

Publications per year

2017–2026

32

Authors

374

  1. AS
    Albert S. Kyle

    University of Maryland, College Park, United States

    4 publications · 292 citations

    4

    h-index

  2. AA
    Anna A. Obizhaeva

    New Economic School, Russia

    4 publications · 292 citations

    4

    h-index

  3. AU
    Arne Uhlendorff

    IZA - Institute of Labor Economics, Germany

    3 publications · 397 citations

    3

    h-index

  4. DA
    Deborah A. Cobb‐Clark

    IZA - Institute of Labor Economics, Germany

    3 publications · 397 citations

    3

    h-index

  5. MC
    Marco Caliendo

    University of Potsdam, Germany

    3 publications · 397 citations

    3

    h-index

1–5 of 374

Venues

  1. SSRN Electronic Journal

    Repository · 9 publications · 257 citations

    9

    h-index

  2. Operations Research

    9 publications · 361 citations

    9

    h-index

  3. Management Science

    4 publications · 203 citations

    4

    h-index

  4. The Astrophysical Journal

    ApJ · 1 publications · 399 citations

    2

    h-index

  5. 2

    h-index

1–5