Description: This paper presents formulas for the L-Function and shows this function has applications in computing survival rates free from the influence of a given cause of death.

Description: In an increasing population the number of persons falls off from age to age more rapidly than does the stationary population of the life table. This can introduce a systematic bias into life table calculations. The first part of the paper describes an iterative procedure to correct for the bias, extends the method to multiple decrement and associated single decrement life tables, and demonstrates the magnitude of the bias involved. The second part of the paper summarizes the results of applying iterative life table techniques to 165 populations which encompass over a century's experience and include countries from all parts of the world. Followed by discussions submitted by several people

Description: Evaluation of the excess mortality element of the Group Conversion charge. Followed by several discussion papers submitted

Description: This paper studies a smoothing spline Poisson regression model for the analysis of mortality data. From Actuarial Research Clearing House 2006, Vol. 1.

Description: The attached report presents the results of a survey conducted by the Society of Actuaries Mortality and Underwriting Survey Committee in July of 2008 under the following categories: 1. Modeling Mortality Risk. 2. Use of Reinsurance to Manage Mortality. 3. Retention / Large Case Management. 4. Catastrophe Reinsurance. 5. Mortality Concentration of Risk. 6. Catastrophic Bonds.

Description: In this paper population mortality rates are used to explore the question of whether a biologically determined maximum age actually exists for the human species. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper describes risk-factor-dependent multiple decrements and actuarial cost functions as a general compartment model, a discrete time and discrete state stochastic model of morbidity and mortality processes. For large numbers of risk factors, the model is extended to its natural continuous time and state form. From Transactions of Society of Actuaries 1991, Vol. 43.

Description: This paper explains a method of computation for the probability of survival which may often be more expeditious than the methods in common use, particularly when the number of lives is large. From Transactions of Society of Actuaries 1959, Vol. 11, No. 29 AB.

Description: In this paper the author proposes a proof for new formulas that derive exposure formulas of the valuation-schedule type on the basis of the Balducci assumption. In addition he provides a short cut for the coefficients of the terms involving deaths. Then he derives a general exposure formula of the valuation-schedule type that may be used for all mortality studies with an observation period covering an integral number of consecutive years. From ACTUARIAL RESEARCH CLEARING HOUSE, 1980 VOL. 2.