Renewal Function

The Renewal Function is a deterministic mathematical function that describes the expected number of renewals occurring by time t in a renewal process, distinguished from other stochastic process functions by its focus on cumulative event counts in independent, identically distributed interarrival intervals.

232

Publications

10.8K

Citations

337

Authors

219

Institutions

Publications per year

2017–2026

13

Authors

337

  1. WL
    Walter L. Smith

    University of Cambridge, United Kingdom

    6 publications · 233 citations

    6

    h-index

  2. WR
    Wallace R. Blischke

    University of Southern California, United States

    4 publications · 196 citations

    4

    h-index

  3. EM
    Ernest M. Scheuer

    California State University, Northridge, United States

    4 publications · 196 citations

    4

    h-index

  4. JL
    Jinzhu Li

    Nankai University, China

    4 publications · 136 citations

    4

    h-index

  5. RG
    Rudolf Grübel

    Leibniz University Hannover, Germany

    4 publications · 117 citations

    4

    h-index

1–5 of 337

Venues

  1. Journal of Applied Probability

    JAP · 17 publications · 493 citations

    13

    h-index

  2. The Annals of Probability

    10 publications · 367 citations

    10

    h-index

  3. Stochastic Processes and their Applications

    9 publications · 339 citations

    9

    h-index

  4. Insurance Mathematics and Economics

    9 publications · 347 citations

    9

    h-index

  5. The Annals of Mathematical Statistics

    9 publications · 575 citations

    9

    h-index

1–5