Description: In this paper the author presents an application of Bayesian forecasting methods to the estimation of reserves for outstanding claims. He assumes that the time number of periods it takes for the claims to be completely paid is fixed and known, that payments are made annually and that the development of partial payments follows a stable pay-off pattern. From Actuarial Research Clearing House, 2003, Vol 1.

Description: The adjustment coefficient R plays an important role in mathematical ruin theory this paper presents several different methods for estimating the variance of R. Examples are given in which the variance is so high that the estimate of R must be considered essentially worthless and other means are sought for estimating ruin probabilities. From the Actuarial Research Clearing House ARCH 1990 Vol. 1.

Description: This paper presents an additional view of estimating parameters of the force of mortality using Bayesian methods. Some examples are provided. From Actuarial Research Clearing House 1993 VOL. 1.

Description: A mathematical framework for benefits and choices must be created, in order to model flexible benefit selection. This paper creates such a framework by defining benefit plans as reimbursement functions. These are then used with a defined choice function to calculate the cost deviation due to selection. From Actuarial Research Clearing House 1992, VOL. 1.

Description: This paper describes a theory of long-term interest-rate trends that was propounded in 1899 by an actuary, Charlton T. Lewis. The paper then presents a preliminary examination of how well that theory stands up in the light of 20th-century experience. The purpose is to invite more thorough evaluation by any experts who find the theory possibly useful.

Description: This paper shows at a relatively low cost, computer assisted instructional techniques can materially improve both classroom instruction and independent study. This discussion is limited to the material used in a Penn State mathematics of finance course. From Actuarial Research Clearing House 1993, VOL. 1.

Description: Using data from a large insurance company, we construct a parametric model for the joint survival function based on a Hougaard copula function.

Description: This paper presents a procedure for calculating aggregate stop-loss premiums that takes parameter uncertainty into account. From Actuarial Research Clearing House ARCH 1988, Vol. 3

Description: Provides white vs. black mortality rates based upon Social Security data for years 1984 - 1988, and separate tables based upon data from 'Health United States' for years 1983 - 1987 and data from 'Vital Statistics of the United States' for years 1983 - 1987.

Description: This review summarizes the key features of a stochastic model that works with non-life insurance claim incurral, accrual and reporting. More specifically it provides an overview of the claim model components, classical parameter estimators, test statistics, and forecast point estimates and error variances. From Actuarial Research Clearing House 1991, VOL. 1.