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
Parents
11
1–5 of 11
24
1
h-index
1
h-index
London School of Economics and Political Science, United Kingdom
1 publications · 16 citations
1
h-index
1
h-index
1
h-index
1–5 of 24
11

University of Wisconsin–Milwaukee
Milwaukee, United States
2 h-index
3 publications
37 citations
Shanghai University of Engineering Science
Shanghai, China
1 h-index
6 publications
78 citations
Brown University
Providence, United States
1 h-index
1 publications
60 citations
University of Florida
Gainesville, United States
1 h-index
2 publications
70 citations
Qinghai Normal University
Xining, China
1 h-index
1 publications
16 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
3 publications
48 citations

Johannes Kepler University of Linz
Linz, Austria
1 h-index
1 publications
11 citations
University of Patras
Pátrai, Greece
1 h-index
1 publications
11 citations
1–8 of 11
1 publications · 13 citations
1
h-index
CJS · 1 publications · 35 citations
1
h-index
1 publications · 11 citations
1
h-index
NAAJ · 1 publications · 12 citations
1
h-index
1 publications · 27 citations
1
h-index
1–5