Binomial Counting Statistics

Binomial Counting Statistics is a statistical framework within counting statistics that models the probability distribution of a fixed number of independent binary outcomes under repeated trials, distinguished by its foundation on the binomial distribution for discrete event enumeration.

115

Publications

10.5K

Citations

236

Authors

152

Institutions

Publications per year

2017–2026

15

Authors

236

  1. AD
    Adolfo del Campo

    Donostia International Physics Center, Spain

    4 publications · 223 citations

    4

    h-index

  2. FJ
    Fernando J. Gómez-Ruiz

    Donostia International Physics Center, Spain

    3 publications · 121 citations

    3

    h-index

  3. SA
    Sigeo Aki

    The University of Osaka, Japan

    3 publications · 104 citations

    3

    h-index

  4. RD
    R. D. Levine

    Hebrew University of Jerusalem, Israel

    2 publications · 101 citations

    2

    h-index

  5. AP
    Alexander Pines

    Lawrence Berkeley National Laboratory, United States

    2 publications · 101 citations

    2

    h-index

1–5 of 236

Venues

  1. The Annals of Mathematical Statistics

    5 publications · 675 citations

    5

    h-index

  2. Physical Review Letters

    PRL · 5 publications · 350 citations

    5

    h-index

  3. The Journal of Physiology

    5 publications · 303 citations

    5

    h-index

  4. American Mathematical Monthly

    4 publications · 134 citations

    4

    h-index

  5. 3

    h-index

1–5