Age Processes

Age Processes is a stochastic process model in renewal theory that characterizes the elapsed time since the last renewal event, distinguishing it from other renewal-related processes by focusing specifically on the age or backward recurrence time of the system.

67

Publications

3.8K

Citations

137

Authors

102

Institutions

Publications per year

2017–2026

10

Authors

137

  1. QL
    Quentin L. Burrell

    University of Manchester, United Kingdom

    3 publications · 125 citations

    3

    h-index

  2. TH
    Thomas H. Savits

    University of Pittsburgh, United States

    2 publications · 527 citations

    2

    h-index

  3. HW
    Henry W. Block

    University of Pittsburgh, United States

    2 publications · 527 citations

    2

    h-index

  4. MB
    Melih Baştopçu

    University of Maryland, College Park, United States

    2 publications · 57 citations

    2

    h-index

  5. MR
    M. Rumsewicz

    The University of Adelaide, Australia

    2 publications · 26 citations

    2

    h-index

1–5 of 137

Venues

  1. Journal of Applied Probability

    JAP · 5 publications · 1.5K citations

    5

    h-index

  2. Journal of Documentation

    3 publications · 125 citations

    3

    h-index

  3. Journal of Statistical Mechanics Theory and Experiment

    JSTAT · 2 publications · 54 citations

    2

    h-index

  4. Journal of Gerontology

    2 publications · 59 citations

    2

    h-index

  5. Reliability Engineering & System Safety

    2 publications · 191 citations

    2

    h-index

1–5