Description: Brief comment from the Editor about the 17th Actuarial Research Conference in 1982.

Description: The purpose of this paper is to introduce some actuarial applications of Tchebyshef's Inequality.

Description: In this paper a new method of adjusting probabilities of death for short age interval, based on the assumption of a modification in one of the forces of decrement, is developed.

Description: This paper on the duality between uniform deaths and Balducci assumptions was motivated by earlier referenced works in which exposure formulas based upon the assumption of the uniform distribution of deaths were analysed. From ACTUARIAL RESEARCH CLEARING HOUSE, 1980 VOL. 2.

Description: In this paper several probability models for the random amounts of needed long-term care are explained, and one model is used to provide an alternate premium calculation method for certain long-term care coverages. From Actuarial Research Clearing House 1990, VOL. 2.

Description: This report provides a toolkit for actuaries and other interested parties to model and forecast mortality by cause and socioeconomic factors.

Description: This report explores estimation of employee stock options exercise behavior and option cost to firms.

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 presents a proof using the general mean value theorem that under specified conditions, the insurance premium for complete protection against a specified loss will decrease with increasing wealth. From Actuarial Research Clearing House 1994, Vol. 1.

Description: Most computations that are done within actuarial science entail using discrete death rates associated with incremental ages. It's not that continuous death rates cannot be used, it's just that discrete values tend to be more convenient to work with. Of the various continuous probability distributions, the one most closely associated with actuarial science may be the Gompertz distribution. This paper takes a closer look at the Gompertz, starting with the motivation behind Benjamin Gompertz proposing this particular distribution. Then the paper develops procedures to estimate the parameters for this distribution, and it ends with a brief example of the procedures presented in the paper.