Severity Regression Models
Severity Regression Models is a statistical modeling framework within claims modeling that specifically quantifies the expected magnitude of insurance claims by regressing claim severity on predictor variables, distinguishing it from frequency models by focusing on the economic impact of individual claims rather than their occurrence count.
13
Publications
743
Citations
37
Authors
19
Institutions
Publications per year
2017–2026
5
Parents
13
Multivariate Frequency-Severity Regression Models in Insurance
Edward W. Frees, Gee Lee, Lu Yang · Risks · 2016 · 139 citations · Full text
1–5 of 13
37
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Virginia Transportation Research Council, United States
1 publications · 212 citations
1
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1–5 of 37
19
First Affiliated Hospital Zhejiang University
Hangzhou, China
1 h-index
10 publications
380 citations

Universidad de Las Palmas de Gran Canaria
Las Palmas de Gran Canaria, Spain
1 h-index
1 publications
12 citations

Pennsylvania State University
State College, United States
1 h-index
2 publications
100 citations
Zhejiang Taizhou Hospital
Linhai, China
1 h-index
1 publications
38 citations

University of Toronto
Toronto, Canada
1 h-index
3 publications
66 citations

The University of Melbourne
Melbourne, Australia
1 h-index
1 publications
12 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
424 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
110 citations
1–8 of 19
2 publications · 151 citations
2
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NAAJ · 2 publications · 37 citations
2
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2 publications · 28 citations
2
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TRPRO · 1 publications · 62 citations
1
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HSR · 1 publications · 25 citations
1
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1–5