Description: This paper is a sequel to Shapiro et. al. in that it discusses a similar role for CAI in topics specific to the text Actuarial Mathematics, by Bowers et. al 1986. The topics covered are the previous topics of actuarial notation, basic concepts, and what-if analysis, along with some new ideas for the presentation of stochastic models.

Description: The note begins with a short overview of key characteristics of a modern tontine. This is followed by a representation of a tontine flowchart that explicitly displays the components of a tontine and their relationships. The remainder of the note discusses the specifics of those components, including: the valuation and buy-in module, the active life test, settlement options, and periodic payments.

Description: The study is based on a sample of actuarial reports attached to the form 550C3, Schedule B, which were sent to the Department of Labor during the period June 1976 to May 1977.

Description: A fuzzy random variable [FRV] has been conceptualized as a vague perception of a crisp but unobservable random variable [RV] and also as a random fuzzy set. Since actuaries seem receptive to these notions of FRV, and there are sources of uncertainty that RVs can not accommodate, but FRVs can, one would expect FRVs to be a component of the actuarial arsenal, but generally this is not the case. Assuming that the reason for this is that potential users are not sufficiently familiar with FRV methodology, the purpose of this article is to help alleviate this situation by presenting a FRV primer.

Description: This paper investigates a fundamental approach to the development of the expected cost of vesting in pension plans. From Transactions of Society of Actuaries 1972, Vol. 24, Pt. 1, No. 70.

Description: Recent articles addressed the subject of fuzzy regression [FR] and the term structure of interest rates [TSIR]. Their approach relied on possibilistic regression. Although possibilistic regression has been used in many applications, it has a number of limitations, not the least of which is its nebulous relation to the least-squares concept. As an alternative to possibilistic regression, this paper uses fuzzy least square regression to investigate the TSIR.

Description: This people provides a derivation of continuous and curtate inequalities of life contingent functions and shows how the proofs of the continuous inequalities are of an entirely different nature from the usual proofs for the curtate inequalities Followed by discussion papers submitted by several authors

Description: 1993 SOA Spring Meeting, San Diego. In this session three panelists related recent personal experiences with respect to emerging trends in hardware, software, and methodologies.

Description: Presented at October 1986 Annual Meeting. This session discussion is about the use of simulation, or Monte Carlo, techniques to analyze complex insurance models such as estimating reserves, solvency considerations, and estimation of mortality and distribution of aggregate losses with the aid of a computer program

Description: Letter to the editor from Mr. Hilary L. Seal, Lausanne Federal Polytechnic School, appearing in the 1979 ARCH.