Compound Distribution Models

Compound Distribution Models is a probabilistic modeling framework in loss distribution analysis that combines a frequency distribution of loss events with a severity distribution of individual losses to characterize the overall distribution of aggregate losses.

99

Publications

5.5K

Citations

227

Authors

127

Institutions

Publications per year

2017–2026

19

Variants

Compound Loss Models

Authors

227

  1. SW
    Simon Watts

    Thales (United Kingdom), United Kingdom

    8 publications · 934 citations

    8

    h-index

  2. GE
    Gordon E. Willmot

    University of Waterloo, Canada

    6 publications · 166 citations

    6

    h-index

  3. KW
    K.D. Ward

    Worcestershire Royal Hospital, United Kingdom

    5 publications · 917 citations

    5

    h-index

  4. HH
    Harry H. Panjer

    University of Waterloo, Canada

    4 publications · 678 citations

    4

    h-index

  5. MA
    Mundher A. Khaleel

    University of Tikrit, Iraq

    4 publications · 146 citations

    4

    h-index

1–5 of 227

Venues

  1. Astin Bulletin

    12 publications · 1K citations

    11

    h-index

  2. Biometrika

    6 publications · 326 citations

    6

    h-index

  3. Insurance Mathematics and Economics

    5 publications · 124 citations

    5

    h-index

  4. Scandinavian Actuarial Journal

    4 publications · 101 citations

    4

    h-index

  5. Technometrics

    2 publications · 80 citations

    2

    h-index

1–5