Description: This paper compares percentile estimates of a large number of cash flow testing scenarios, where only a very small number fall in the ruin tail, by parametric and non-parametric methods.

Description: This paper reviews recursive formulas for aggregate claim distributions. Followed by a submitted discussion paper

Description: This paper presents a model of the progression of the Acquired Immunodeficiency Syndrome [AIDS] epidemic in the United States. From Transactions of Society of Actuaries 1989, Vol. 41.

Description: The author offers a mathematical model for determining how much time to spend on a multiple choice question when taking an exam.

Description: This article shows that the Society's advice for multiple choice examinations of move on, seriously attempt each question but do not spend a disproportionate amount of time on a single question, is indeed wise and sound.

Description: To solve multiple choice problems by elimination, one approach is to study values of functions at the boundary. In this note, the author shows by examples that the method of boundary values can be risky if the tacit assumption of continuity at the boundary is not checked. From ACTUARIAL RESEARCH CLEARING HOUSE, 1980 VOL. 2.

Description: In this note, we rearrange the statement and the proof of a theorem in Greville. The presentation appears to be more compact the materials, however, are not new.].

Description: This paper presents a method that uses three-dimensional graphs to solve stationary population problems. From Transactions of Society of Actuaries 1981, Vol. 33.

Description: This paper presents a unifying non-Bayesian statistical method for incorporating prior information into the determination of probability distributions and other finite measures and develops the statistical properties of this method together with actuarial applications. A discussion of the paper follows. From Transactions of Society of Actuaries 1991, Vol. 43.

Description: We find the necessary and sufficient conditions for fitting five given moments by a triatomic distribution. We consider three examples drawn from fire large spread, individual life medium spread and group life small spread insurance data, fit them with triatomics, and compute the ruin probabilities using well known formulas for discrete and for combination of exponentials claim amounts. We then compare our approximations with the exact values that appeared in the literature.