Excess Zeros Modeling

Excess Zeros Modeling is a statistical modeling framework designed for count data that incorporates mechanisms to account for an observed frequency of zero counts exceeding the number predicted by standard count distributions, thereby distinguishing it from conventional models by explicitly addressing overrepresentation of zeros through modified probability structures.

260

Publications

25.5K

Citations

672

Authors

418

Institutions

Publications per year

2017–2026

75

Variants

Zero-inflated Modeling

Authors

672

  1. KK
    Kelvin K.W. Yau

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 438 citations

    4

    h-index

  2. AH
    A. H. Welsh

    Australian National University, Australia

    4 publications · 862 citations

    4

    h-index

  3. AH
    Andy H. Lee

    Curtin University, Australia

    4 publications · 438 citations

    4

    h-index

  4. CK
    Christian Kleiber

    TU Dortmund University, Germany

    3 publications · 2.8K citations

    3

    h-index

  5. DB
    Daniel B. Hall

    University of Georgia, United States

    3 publications · 1.1K citations

    3

    h-index

1–5 of 672

Venues

  1. Statistics in Medicine

    17 publications · 802 citations

    14

    h-index

  2. Biometrical Journal

    9 publications · 591 citations

    9

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 8 publications · 917 citations

    8

    h-index

  4. Biometrics

    8 publications · 1.7K citations

    8

    h-index

  5. Statistical Modelling

    7 publications · 856 citations

    7

    h-index

1–5