Multivariate Experience Rating is a statistical methodology in actuarial science that, as a refinement of traditional experience rating, employs multivariate analysis to simultaneously assess and adjust insurance premiums based on multiple interdependent risk factors derived from an insured entity's historical claims data.
7
Publications
246
Citations
12
Authors
7
Institutions
Publications per year
2017–2026
1
Parents
Publications
7
Multivariate Credibility for Aggregate Loss Models
Edward W. Frees · North American Actuarial Journal · 2003 · 36 citations
1–5 of 7
Authors
12
- DH
2
h-index
- YG
2
h-index
- LY
1
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- JF
1
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- ME
1
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1–5 of 12
Institutions
7
University of Missouri
Columbia, United States
2 h-index
4 publications
236 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
69 citations
University of the District of Columbia
Washington D.C., United States
2 h-index
4 publications
236 citations
University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
33 citations
Nielsen (Germany)
Frankfurt am Main, Germany
1 h-index
1 publications
24 citations
University of Copenhagen
Copenhagen, Denmark
1 h-index
1 publications
24 citations
Sarah Cannon Research Institute
London, United Kingdom
1 h-index
1 publications
24 citations
1–7 of 7
Venues
- Organizational Behavior and Human Decision Processes
2 publications · 118 citations
2
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- Insurance Mathematics and Economics
1 publications · 23 citations
1
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- Econstor (Econstor)
Repository · 1 publications · 12 citations
1
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- Journal of the Royal Statistical Society Series A (Statistics in Society)
1 publications · 33 citations
1
h-index
- Journal of Risk & Insurance
1 publications · 24 citations
1
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1–5