Overdispersion

Overdispersion is a statistical phenomenon in which the observed variance in a dataset exceeds the theoretical variance expected under a specified generalized linear model, particularly those assuming a distribution with fixed dispersion such as the Poisson or binomial.

281

Publications

22.5K

Citations

693

Authors

412

Institutions

Publications per year

2017–2026

59

Authors

693

  1. JW
    James W. Hardin

    University of South Carolina, United States

    8 publications · 430 citations

    8

    h-index

  2. CG
    Clarice Garcia Borges Demétrio

    Universidade de São Paulo, Brazil

    7 publications · 1.1K citations

    7

    h-index

  3. ZY
    Zhao Yang

    University of South Carolina, United States

    5 publications · 170 citations

    5

    h-index

  4. CB
    C. B. Dean

    Simon Fraser University, Canada

    5 publications · 898 citations

    5

    h-index

  5. CL
    Cheryl L. Addy

    University of South Carolina, United States

    5 publications · 170 citations

    5

    h-index

1–5 of 693

Venues

  1. 14

    h-index

  2. Statistics in Medicine

    10 publications · 253 citations

    10

    h-index

  3. Biometrika

    10 publications · 2.2K citations

    10

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 9 publications · 1K citations

    9

    h-index

  5. Biometrics

    8 publications · 356 citations

    8

    h-index

1–5