On weighted balanced loss function under the Esscher principle and credibility premiums
Year 2018,
Volume: 47 Issue: 1, 255 - 265, 01.02.2018
Farouk Metiri
Halim Zeghdoudi
Mohamed Riad Remita
Abstract
This paper focuses on weighted balanced loss function under the Esscher principle (WBLF) of which we explore the modern practice of credibility theory and we generalize credibility premiums by using the WBLF. We obtain a distribution-free approach under the WBLF and the Esscher premium by using a minimization technique. Also, we discuss the consistency of the credibility premium generated by this distribution-free approach.
References
- Bühlmann, H. Experience rating and credibility, Astin Bulletin 4, 199-207, 1967.
- Bühlmann, H., Gisler, A. A Course in Credibility Theory and its Applications, Springer,
Netherlands, 2005.
- Dey, D.G., Ghosh, M., Strawderman, W. On estimation with balanced loss functions, Sta-
tistics and Probability Letters 45, 97-101, 1999.
- Farsipour, N.S., Asgharzadhe, A. Estimation of a normal mean relative to balanced loss
functions, Statistical Papers 45, 279-286, 2004.
- Gómez Déniz. On the use of the weighted balanced loss function to obtain credibility premi-
ums, International conference on mathematical and statistical modeling in Honor of Enrique
Castillo, June 28-30, 2006.
- Gómez Déniz. A generalization of the credibility theory obtained by using the weighted bal-
anced loss function, Insurance: Mathematics and Economics 42, 850-854, 2008.
- Goovaerts, M.J., De Vylder.F. and Haezendonck. J. Insurance Premiums: Theory and Ap-
plications. North-Holland. Amsterdam, 1984.
- Goovaerts, M.J. and Hoogstad, W.J. Credibility Theory. In: Surveys of Actuarial Studies,
4, Nationale-Nederlanden N.V., Rotterdam, 1987.
- Gupta, S. and Berger, J. Statistical Decision Theory and Related Topics, Springer, New
York, 371-390, 1994.
- Heilmann, W. Decision theoretic foundations of credibility theory, Insurance: Mathematics
and Economics 8 (1), 77-95, 1989.
- Herzog, T.N. Introduction to Credibility Theory, 2nd edition, ACTEX Publications, Win-
sted, 1996.
- Jafari, M., Marchand, E., Parsian, A. On estimation with weighted balanced-type loss func-
tion, Statistics and Probability Letters 76, 773-780, 2006.
- Kaas, R., Dannenburg, D., Goovaerts, M. Exact credibility for weighted observations, Astin
Bulletin 27 (2), 287-295, 1996.
- Klugman, S.A., Panjer, H.H., Willmot, G.E. Loss Models: From Data to Decisions, John
Wiley and Sons, New York, 2004.
- Maolin Pan, Rongming Wang, Xianyi Wu. On the consistency of credibility premiums re-
garding Esscher principle, Insurance: Mathematics and Economics 42, 119-126, 2008.
- Najafabadi, Amir T. Payandeh. A new approach to the credibility formula, Insurance: Math-
ematics and Economics 46, 334-338, 2010.
- Norberg, R. Credibility theory. In: Encyclopedia of Actuarial Science, Wiley, Chichester,
UK, 2004.
- Rodermund, M. Introduction, Foundations of Casualty Actuarial Science, Chapter 1. New
York: Casualty Actuarial Society, 1989.
- Van Heerwaarden. A.E., Kaas, R. and Goovaerts, M.J. Optimal reinsurance in relation to
ordering of risks, Insurance: Mathematics and Economics 8. (1), 11-17, 1989.
- Zellner, A. Bayesian and non-Bayesian estimation using balanced loss function, In: Gupta,
S.S., Berger, J.O. (Eds.), Statistical Decision Theory and Related Topics. Springer, New
York, pp. 371-390, 1994.
Year 2018,
Volume: 47 Issue: 1, 255 - 265, 01.02.2018
Farouk Metiri
Halim Zeghdoudi
Mohamed Riad Remita
References
- Bühlmann, H. Experience rating and credibility, Astin Bulletin 4, 199-207, 1967.
- Bühlmann, H., Gisler, A. A Course in Credibility Theory and its Applications, Springer,
Netherlands, 2005.
- Dey, D.G., Ghosh, M., Strawderman, W. On estimation with balanced loss functions, Sta-
tistics and Probability Letters 45, 97-101, 1999.
- Farsipour, N.S., Asgharzadhe, A. Estimation of a normal mean relative to balanced loss
functions, Statistical Papers 45, 279-286, 2004.
- Gómez Déniz. On the use of the weighted balanced loss function to obtain credibility premi-
ums, International conference on mathematical and statistical modeling in Honor of Enrique
Castillo, June 28-30, 2006.
- Gómez Déniz. A generalization of the credibility theory obtained by using the weighted bal-
anced loss function, Insurance: Mathematics and Economics 42, 850-854, 2008.
- Goovaerts, M.J., De Vylder.F. and Haezendonck. J. Insurance Premiums: Theory and Ap-
plications. North-Holland. Amsterdam, 1984.
- Goovaerts, M.J. and Hoogstad, W.J. Credibility Theory. In: Surveys of Actuarial Studies,
4, Nationale-Nederlanden N.V., Rotterdam, 1987.
- Gupta, S. and Berger, J. Statistical Decision Theory and Related Topics, Springer, New
York, 371-390, 1994.
- Heilmann, W. Decision theoretic foundations of credibility theory, Insurance: Mathematics
and Economics 8 (1), 77-95, 1989.
- Herzog, T.N. Introduction to Credibility Theory, 2nd edition, ACTEX Publications, Win-
sted, 1996.
- Jafari, M., Marchand, E., Parsian, A. On estimation with weighted balanced-type loss func-
tion, Statistics and Probability Letters 76, 773-780, 2006.
- Kaas, R., Dannenburg, D., Goovaerts, M. Exact credibility for weighted observations, Astin
Bulletin 27 (2), 287-295, 1996.
- Klugman, S.A., Panjer, H.H., Willmot, G.E. Loss Models: From Data to Decisions, John
Wiley and Sons, New York, 2004.
- Maolin Pan, Rongming Wang, Xianyi Wu. On the consistency of credibility premiums re-
garding Esscher principle, Insurance: Mathematics and Economics 42, 119-126, 2008.
- Najafabadi, Amir T. Payandeh. A new approach to the credibility formula, Insurance: Math-
ematics and Economics 46, 334-338, 2010.
- Norberg, R. Credibility theory. In: Encyclopedia of Actuarial Science, Wiley, Chichester,
UK, 2004.
- Rodermund, M. Introduction, Foundations of Casualty Actuarial Science, Chapter 1. New
York: Casualty Actuarial Society, 1989.
- Van Heerwaarden. A.E., Kaas, R. and Goovaerts, M.J. Optimal reinsurance in relation to
ordering of risks, Insurance: Mathematics and Economics 8. (1), 11-17, 1989.
- Zellner, A. Bayesian and non-Bayesian estimation using balanced loss function, In: Gupta,
S.S., Berger, J.O. (Eds.), Statistical Decision Theory and Related Topics. Springer, New
York, pp. 371-390, 1994.