Predictive analysis in insurance: An application of generalized linear mixed models-Reference-Cited by-同舟云学术

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Predictive analysis in insurance: An application of generalized linear mixed models

Published:2023-09-30 Issue:5 Volume:30 Page:437-451
ISSN:2287-7843
Container-title:Communications for Statistical Applications and Methods
language:en
Short-container-title:Communications for Statistical Applications and Methods

Author:

Oh Rosy¹,Woo Nayoung²,Yoo Jae Keun²,Ahn Jae Youn²

Affiliation:

1. Department of Mathematics, Korea Military Academy, Korea

2. Department of Statistics, Ewha Womans University, Korea

Funder

National Research Foundation of Korea

Ministry of Education

Korean Risk Management Society

Institute of Information & Communications Technology Planning & Evaluation

Ministry of Science and ICT, South Korea

Publisher

The Korean Statistical Society

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Finance,Modeling and Simulation,Statistics and Probability

Link

https://pdf.medrang.co.kr/CSAM/2023/030/CSAM030-05-437.pdf

Reference21 articles.

1. Antonio K and Beirlant J (2007). Actuarial statistics with generalized linear mixed models. Insurance: Mathematics and Economics, 40, 58-76.

2. Breslow NE and Clayton DG (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistical Association, 88, 9-25.

3. Bühlmann H and Gisler A (2005). A Course in Credibility Theory and Its Applications (317), Berlin, Springer.

4. Copulas: A Personal View

5. Multivariate Frequency-Severity Regression Models in Insurance

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