Sample-path Little's Law

Sample-Path Little's Law is a deterministic variant of Little's Law that establishes a rigorous almost-sure relationship between the time-average number of entities in a system and the time-average sojourn time of individual entities along a single sample path, without reliance on stochastic steady-state assumptions.

22

Publications

646

Citations

42

Authors

30

Institutions

Publications per year

2017–2026

1

Authors

42

  1. SS
    Shaler Stidham

    University of North Carolina at Chapel Hill, United States

    2 publications · 64 citations

    2

    h-index

  2. JB
    Jean Bertoin

    Sorbonne Université, France

    1 publications · 10 citations

    1

    h-index

  3. SS
    S. Stidham

    1 publications · 24 citations

    1

    h-index

  4. NK
    Norio Kôno

    The University of Osaka, Japan

    1 publications · 19 citations

    1

    h-index

  5. SM
    Stephen M. Robinson

    University of Wisconsin–Madison, United States

    1 publications · 166 citations

    1

    h-index

1–5 of 42

Venues

  1. Journal of Statistical Physics

    2 publications · 63 citations

    2

    h-index

  2. Queueing Systems

    2 publications · 66 citations

    2

    h-index

  3. Operations Research Letters

    2 publications · 23 citations

    2

    h-index

  4. Probability Theory and Related Fields

    1 publications · 10 citations

    1

    h-index

  5. Journal of Theoretical Probability

    1 publications · 18 citations

    1

    h-index

1–5