Point Process Order Statistics

Point Process Order Statistics is a statistical framework that characterizes the distributional properties of ordered event times or locations arising from a point process, distinguished by its focus on the stochastic ordering of random points within a given domain.

15

Publications

523

Citations

32

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

32

  1. JM
    Jorge Mateu

    Universitat Jaume I, Spain

    3 publications · 54 citations

    3

    h-index

  2. PD
    Paul D. Feigin

    Technion – Israel Institute of Technology, Israel

    2 publications · 77 citations

    2

    h-index

  3. WG
    Wenceslao González–Manteiga

    Universidade de Santiago de Compostela, Spain

    1 publications · 14 citations

    1

    h-index

  4. MM
    Mehdi Moradi

    Universitat Jaume I, Spain

    1 publications · 26 citations

    1

    h-index

  5. AD
    A. Deffner

    Institut für Urheber- und Medienrecht, Germany

    1 publications · 12 citations

    1

    h-index

1–5 of 32

Venues

  1. Journal of Applied Probability

    JAP · 5 publications · 151 citations

    5

    h-index

  2. Ultramicroscopy

    1 publications · 12 citations

    1

    h-index

  3. Stochastic Processes and their Applications

    1 publications · 21 citations

    1

    h-index

  4. 1

    h-index

  5. Statistics and Computing

    1 publications · 26 citations

    1

    h-index

1–5