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Applications of the GB2 family of distributions in modeling insurance loss processes

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Author Info

  • Cummins, J. David
  • Dionne, Georges
  • McDonald, James B.
  • Pritchett, B. Michael

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Bibliographic Info

Article provided by Elsevier in its journal Insurance: Mathematics and Economics.

Volume (Year): 9 (1990)
Issue (Month): 4 (December)
Pages: 257-272

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Handle: RePEc:eee:insuma:v:9:y:1990:i:4:p:257-272

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Web page: http://www.elsevier.com/locate/inca/505554

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Cited by:
  1. Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
  2. David Cummins & Christopher Lewis & Richard Phillips, 1999. "Pricing Excess-of-Loss Reinsurance Contracts against Cat as trophic Loss," NBER Chapters, in: The Financing of Catastrophe Risk, pages 93-148 National Bureau of Economic Research, Inc.
  3. Hela Dahen & Georges Dionne, 2007. "Scaling Models for the Severity and Frequency of External Operational Loss Data," Cahiers de recherche 0702, CIRPEE.
  4. Bali, Turan G. & Mo, Hengyong & Tang, Yi, 2008. "The role of autoregressive conditional skewness and kurtosis in the estimation of conditional VaR," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 269-282, February.
  5. Kalb, Guyonne R. J. & Kofman, Paul & Vorst, Ton C. F., 1996. "Mixtures of tails in clustered automobile collision claims," Insurance: Mathematics and Economics, Elsevier, vol. 18(2), pages 89-107, July.
  6. Sun, Jiafeng & Frees, Edward W. & Rosenberg, Marjorie A., 2008. "Heavy-tailed longitudinal data modeling using copulas," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 817-830, April.
  7. Dong, A.X.D. & Chan, J.S.K., 2013. "Bayesian analysis of loss reserving using dynamic models with generalized beta distribution," Insurance: Mathematics and Economics, Elsevier, vol. 53(2), pages 355-365.
  8. Jones, A. & Lomas, J. & Rice, N., 2011. "Applying Beta-type Size Distributions to Healthcare Cost Regressions," Health, Econometrics and Data Group (HEDG) Working Papers 11/31, HEDG, c/o Department of Economics, University of York.

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