Description: This paper presents a general law of mortality that is equal to a mixture of Gompertz, Weibull, Inverse-Gompertz, and Inverse-Weibull survival functions.

Description: This paper introduces the modern concepts and definitions of the statistical subject of life testing, and ties them in with corresponding concepts of actuarial science. This paper additionally presents a justification of some common laws of mortality. Discussions of the paper are included.

Description: This paper is from Transactions of Society of Actuaries 1955 Volume 7, Number 17. The author discusses the advantages to management of preparing estimates of annual earnings early in the year, for planning and budgeting, deciding on changes to dividend scales, estimating earnings from interest, mortality, and expenses against expected, etc. The author lays out his method of forecasting based on gains and losses by source of earnings, using readily available data including various annual statement exhibits. The author notes that judgment is important as well as statistical analysis in making reasonable forecasts.

Description: This paper outlines a method of parametric modeling that may be used to produce forecasts and forecast intervals that will convey a measure of the reliance that may be placed on the forecasts. Followed by 2 discussion papers submitted

Description: This paper presents the fundamentals of creating and using projections. From Transactions of Society of Actuaries 1950, Vol. 2, No. 4.

Description: Examination of how mean reserve factors can best be calculated in light of the new accounting reporting requirements for the earnings of stock life insurance companies. Also examines some methods of expense amortization, including the reserve factor method, and also attempt to show an informative comparison of how reported calendar-year earnings can be expected to emerge with statutory mean reserve factors, natural mean reserve factors, and assorted expense amortization methods. Followed by several submitted discussion papers

Description: This paper by John Mereu describes a method for mathematically computing the expected loss under a group life contract in excess of a stated limit. The paper also shows how to compute the variance and standard deviation of the stop-loss claim and suggests how the method can be extended to group insurance benefits where the claim amount per certificate is not fixed. Paper is followed by discussions from several people

Description: This paper presents a method involving re-sampling 'with replacement but without random numbers', numerical convolutions for sums and quotients, and estimation of confidence intervals for trend in average size claim. In this paper, this method is applied to major medical claims.