Robust regression methods for insurance risk classification
Risk classification is an important actuarial process for insurance companies. It allows for the underwriting of the best risks, through an appropriate choice of classification variables, and helps set fair premiums in rate-making. Currently, insurance companies mainly use ad-hoc methods for risk c...
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| Format: | Others |
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2002
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| Online Access: | http://spectrum.library.concordia.ca/1578/1/NQ85274.pdf Flores, Esteban <http://spectrum.library.concordia.ca/view/creators/Flores=3AEsteban=3A=3A.html> (2002) Robust regression methods for insurance risk classification. PhD thesis, Concordia University. |