Prediction of settlement delay in critical illness insurance claims by using the generalized beta of the second kind distribution
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- Cummins, J. David & Dionne, Georges & McDonald, James B. & Pritchett, B. Michael, 1990.
"Applications of the GB2 family of distributions in modeling insurance loss processes,"
Insurance: Mathematics and Economics, Elsevier, vol. 9(4), pages 257-272, December.
- David Cummins, J. & Dionne, G. & Mcdonald, J.B., 1988. "Applications of the Gb2 Family of Distributions in the Modeling Insurance Loss Processe," Cahiers de recherche 8838, Universite de Montreal, Departement de sciences economiques.
- David Cummins, J. & Dionne, G. & Mcdonald, J.B. & Pritchett, B.M., 1988. "Applications Of The Gb2 Family Of Distributions In The Modeling Insurance Loss Processe," Cahiers de recherche 8838, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Andrew M. Jones & James Lomas & Nigel Rice, 2014.
"Applying Beta‐Type Size Distributions To Healthcare Cost Regressions,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 649-670, June.
- 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.
- James B. McDonald, 2008.
"Some Generalized Functions for the Size Distribution of Income,"
Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 3, pages 37-55,
Springer.
- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-663, May.
- 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.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Frees, Edward W. & Valdez, Emiliano A., 2008. "Hierarchical Insurance Claims Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1457-1469.
- McDonald, James B. & Xu, Yexiao J., 1995.
"A generalization of the beta distribution with applications,"
Journal of Econometrics, Elsevier, vol. 69(2), pages 427-428, October.
- McDonald, James B. & Xu, Yexiao J., 1995. "A generalization of the beta distribution with applications," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 133-152.
- McDonald, James B. & Butler, Richard J., 1990. "Regression models for positive random variables," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 227-251.
- Ozkok, Erengul & Streftaris, George & Waters, Howard R. & Wilkie, A. David, 2012. "Bayesian modelling of the time delay between diagnosis and settlement for Critical Illness Insurance using a Burr generalised-linear-type model," Insurance: Mathematics and Economics, Elsevier, vol. 50(2), pages 266-279.
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