Stationary Arrival Processes

Stationary Arrival Processes is an arrival process in which the statistical properties of the event occurrences remain invariant over time, specifically characterized by a constant arrival rate and identical distribution of inter-arrival times across all time intervals of equal length.

60

Publications

2.5K

Citations

102

Authors

48

Institutions

Publications per year

2017–2026

1

Authors

102

  1. WW
    Ward Whitt

    AT&T (United States), United States

    8 publications · 695 citations

    8

    h-index

  2. VA
    Venkat Anantharam

    University of California, Berkeley, United States

    4 publications · 97 citations

    4

    h-index

  3. BM
    Benjamin Melamed

    Rutgers, The State University of New Jersey, United States

    3 publications · 197 citations

    3

    h-index

  4. BL
    Barry L. Nelson

    Northwestern University, United States

    3 publications · 82 citations

    3

    h-index

  5. IG
    Ira Gerhardt

    Northwestern University, United States

    2 publications · 70 citations

    2

    h-index

1–5 of 102

Venues

  1. Journal of Applied Probability

    JAP · 13 publications · 446 citations

    12

    h-index

  2. Operations Research

    7 publications · 615 citations

    7

    h-index

  3. IEEE Transactions on Information Theory

    4 publications · 105 citations

    4

    h-index

  4. Queueing Systems

    3 publications · 65 citations

    3

    h-index

  5. The Annals of Applied Probability

    3 publications · 71 citations

    3

    h-index

1–5