Credibility For Small Samples

Credibility for Small Samples is a credibility theory framework that adjusts estimation accuracy in actuarial science by optimally weighting limited empirical data with external information to account for the heightened uncertainty inherent in small sample sizes.

11

Publications

259

Citations

24

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

24

  1. RM
    Rose McDermott

    John Brown University, United States

    1 publications · 60 citations

    1

    h-index

  2. MZ
    Minghui Zhang

    Nankai University, China

    1 publications · 13 citations

    1

    h-index

  3. JP
    Jörn‐Steffen Pischke

    London School of Economics and Political Science, United Kingdom

    1 publications · 16 citations

    1

    h-index

  4. HG
    Haiyan Ge

    Shanghai University of Engineering Science, China

    1 publications · 13 citations

    1

    h-index

  5. JC
    James C. McCroskey

    West Virginia University, United States

    1 publications · 40 citations

    1

    h-index

1–5 of 24

Venues

  1. American Anthropologist

    1 publications · 13 citations

    1

    h-index

  2. Canadian Journal of Statistics

    CJS · 1 publications · 35 citations

    1

    h-index

  3. 1

    h-index

  4. North American Actuarial Journal

    NAAJ · 1 publications · 12 citations

    1

    h-index

  5. Astin Bulletin

    1 publications · 27 citations

    1

    h-index

1–5