A Copula-Based Bivariate Composite Model for Modelling Claim Costs
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- David Scollnik, 2007. "On composite lognormal-Pareto models," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2007(1), pages 20-33.
- Bettina Grün & Tatjana Miljkovic, 2019. "Extending composite loss models using a general framework of advanced computational tools," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2019(8), pages 642-660, September.
- Wang, Yinzhi & Hobæk Haff, Ingrid & Huseby, Arne, 2020. "Modelling extreme claims via composite models and threshold selection methods," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 257-268.
- S. Nadarajah & S.A.A. Bakar, 2014. "New composite models for the Danish fire insurance data," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2014(2), pages 180-187.
- Abu Bakar, S.A. & Hamzah, N.A. & Maghsoudi, M. & Nadarajah, S., 2015. "Modeling loss data using composite models," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 146-154.
- Edward Frees & Emiliano Valdez, 1998. "Understanding Relationships Using Copulas," North American Actuarial Journal, Taylor & Francis Journals, vol. 2(1), pages 1-25.
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Keywords
copulas; dependence parameter; Gumbel copula; Inverse Weibull distribution; Inverse Burr distribution; Paralogistic distribution; Weibull distribution;All these keywords.
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