Multinomial Counting Statistics

Multinomial Counting Statistics is a statistical framework that models the probability distribution of counts across multiple mutually exclusive categories in a fixed number of independent trials, generalizing binomial counting to more than two outcomes.

27

Publications

2.7K

Citations

66

Authors

49

Institutions

Publications per year

2017–2026

7

Authors

66

  1. AD
    Adolfo del Campo

    Donostia International Physics Center, Spain

    3 publications · 121 citations

    3

    h-index

  2. FJ
    Fernando J. Gómez-Ruiz

    Donostia International Physics Center, Spain

    3 publications · 121 citations

    3

    h-index

  3. HO
    H. O. Lancaster

    Tropical Population Health Unit, Australia

    2 publications · 312 citations

    2

    h-index

  4. JS
    Jeffrey S. Morris

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 37 citations

    1

    h-index

  5. HS
    Hans Sauer

    Institut für Urheber- und Medienrecht, Germany

    1 publications · 11 citations

    1

    h-index

1–5 of 66

Venues

  1. 2

    h-index

  2. Biometrics

    2 publications · 57 citations

    2

    h-index

  3. Physical Review Letters

    PRL · 2 publications · 141 citations

    2

    h-index

  4. Scientific Reports

    1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5