Underdispersion Modeling

Underdispersion Modeling is a statistical modeling approach that belongs to the class of count data models and is distinguished by its accommodation of situations where the variance of the count response variable is less than its mean, thereby addressing data dispersion patterns contrary to the equidispersion assumption of the Poisson model.

93

Publications

5.8K

Citations

190

Authors

152

Institutions

Publications per year

2017–2026

26

Authors

190

  1. MJ
    M. J. Faddy

    Queensland University of Technology, Australia

    5 publications · 92 citations

    5

    h-index

  2. RW
    Rainer Winkelmann

    University of Zurich, Switzerland

    4 publications · 428 citations

    4

    h-index

  3. KF
    Kimberly F. Sellers

    Georgetown University, United States

    4 publications · 301 citations

    4

    h-index

  4. GS
    Galit Shmueli

    National Tsing Hua University, Taiwan

    3 publications · 256 citations

    3

    h-index

  5. MB
    Marcelo Bourguignon

    Universidade Federal do Rio Grande do Norte, Brazil

    3 publications · 111 citations

    3

    h-index

1–5 of 190

Venues

  1. Journal of Business and Economic Statistics

    JBES · 5 publications · 522 citations

    5

    h-index

  2. Journal of Applied Statistics

    4 publications · 168 citations

    4

    h-index

  3. 4

    h-index

  4. Statistical Modelling

    4 publications · 270 citations

    4

    h-index

  5. Risk Analysis

    3 publications · 333 citations

    3

    h-index

1–5