Renewal Process Approximation

Renewal Process Approximation is a mathematical modeling technique that belongs to the class of stochastic process approximation methods, specifically characterizing the convergence of a renewal process to a Poisson process under scaling or limiting conditions on interarrival times.

157

Publications

6.8K

Citations

273

Authors

183

Institutions

Publications per year

2017–2026

15

Authors

273

  1. LH
    Lajos Horváth

    University of Utah, United States

    5 publications · 209 citations

    5

    h-index

  2. RJ
    Renyan Jiang

    Changsha University of Science and Technology, China

    4 publications · 87 citations

    4

    h-index

  3. AK
    A. Kuczura

    S&C Electric Company (United States), United States

    3 publications · 322 citations

    3

    h-index

  4. MR
    M. R. Leadbetter

    University of North Carolina at Chapel Hill, United States

    3 publications · 144 citations

    3

    h-index

  5. MC
    Miklós Csörgő

    Carleton University, Canada

    2 publications · 118 citations

    2

    h-index

1–5 of 273

Venues

  1. Reliability Engineering & System Safety

    8 publications · 405 citations

    8

    h-index

  2. Operations Research

    7 publications · 1K citations

    7

    h-index

  3. IEEE Transactions on Reliability

    6 publications · 236 citations

    6

    h-index

  4. The Annals of Probability

    5 publications · 221 citations

    5

    h-index

  5. Bell System Technical Journal

    BSTJ · 5 publications · 514 citations

    5

    h-index

1–5