This book introduces loss data analytic tools that are most relevant to actuaries and other financial risk analysts. Here are a few reference cited in the chapter.
- Bailey, Robert A. and J. Simon LeRoy (1960). “Two studies in automobile ratemaking,” Proceedings of the Casualty Actuarial Society Casualty Actuarial Society, Vol. XLVII.
- Bowers, Newton L., Hans U. Gerber, James C. Hickman, Donald A. Jones, and Cecil J. Nesbitt (1986). Actuarial Mathematics. Society of Actuaries Itasca, Ill.
- Dickson, David C. M., Mary Hardy, and Howard R. Waters (2013).Actuarial Mathematics for Life Contingent Risks. Cambridge University Press.
- Earnix (2013). “2013 Insurance Predictive Modeling Survey,” Earnix and Insurance Services Office, Inc. [Retrieved on May 10, 2016].
- Gorman, Mark and Stephen Swenson (2013). “Building believers: How to expand the use of predictive analytics in claims,” SAS, [Retrieved on May 10, 2016].
- Insurance Information Institute (2015). “International Insurance Fact Book. [Retrieved on May 10, 2016].
- Taylor, Gregory C. (2014). “Claims triangles/Loss reserves,” in Edward W. Frees, Glenn Meyers, and Richard A. Derrig eds. Predictive Modeling Applications in Actuarial Science, Cambridge. Cambridge University Press.