Negative Binomial Claim Models

Negative Binomial Claim Models is a statistical model in claims modeling that specifies the frequency distribution of insurance claims using the negative binomial distribution, distinguished from alternative models by its ability to account for overdispersion in claim counts relative to the Poisson distribution.

23

Publications

1.1K

Citations

60

Authors

41

Institutions

Publications per year

2017–2026

5

Authors

60

  1. GE
    Gordon E. Willmot

    University of Waterloo, Canada

    3 publications · 244 citations

    3

    h-index

  2. EA
    Emiliano A. Valdez

    University of Connecticut, United States

    3 publications · 326 citations

    3

    h-index

  3. EW
    Edward W. Frees

    University of Wisconsin–Madison, United States

    2 publications · 235 citations

    2

    h-index

  4. GÀ
    G. À. Whitmore

    McGill University, Canada

    1 publications · 31 citations

    1

    h-index

  5. MA
    Melissa Aldridge

    Mount Sinai Health System, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 60

Venues

  1. Astin Bulletin

    6 publications · 173 citations

    6

    h-index

  2. 2

    h-index

  3. North American Actuarial Journal

    NAAJ · 2 publications · 31 citations

    2

    h-index

  4. Annals of Actuarial Science

    1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5