Description: A presentation of a mathematics/statistics based approach for determining credibility factors for possible use in group health insurance premium rate setting and experience refund setting. Includes supporting mathematical proofs of approach. Followed by discussions submitted by several people

Description: The authors of the 2nd edition of the 'Actuarial Mathematics' textbook discuss the changes in the new edition. From the 1997 Record of Society of Actuaries, Vol. 23, No. 3.

Description: The purpose of this paper is to describe the application of the Monte Carlo technique to a practical situation in a company, group term rate making. It included a discussion of some of the problems encountered and the solution to these problems. Followed by several discussion papers submitted

Description: The purpose of this note is to show how certain formulas of life contingencies can be derived almost painlessly under the uniform distribution of deaths assumption.

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 statistical and mathematical method to calculate Stop-Loss Premiums. It also includes a discussion of the paper. From Transactions of Society of Actuaries 1976, Vol. 28.

Description: This section contains book reviews and a select bibliography. From Transactions of Society of Actuaries 1973, Vol. 25, Pt. 1, No. 73. Book topics include statistics, quantitative methods for determining IBNR, and Investing for a Financial Institution. Other books on actuarial and insurance topics are briefly discussed.

Description: The objective of this paper is to present a technical exposition of the rudiments of Bayesian statistics.

Description: This is a discussion of papers presented at eariler regional meetings. From Transactions of Society of Actuaries 1969, Vol. 21 Pt. 1, No. 60

Description: This paper shows how a graduation method may be developed as straight forward statistical estimation within a statistical theory based upon personal probability, that is, so-called Bayesian statistics. The method discussed is applicable to a broad range of graduation situations, but does assume the more specific property of the graduator's prior opinion with respect to mortality rates.