Description: This paper presents diagnostics and tests for tile retrospective identification of abrupt change in the mean level of a process where the mean and variance of the underlying random variables cannot be functionally separated. From Actuarial Research Clearing House 1994, VOL. 1.

Description: The minimum distance estimator proposed allows for the selection of the best fitting family member without prior distributional assumptions. It is shown that this estimator is consistent and can be made either robust or asymptotically efficient. Its asymptotic distribution is derived and and illustrated with automobile insurance data. From the Actuarial Research Clearing House 1990 Vol. 1

Description: This is the abstract of a paper that deals with a recent modification of the Monte Carlo method known as quasi random Monte Carlo. Under this approach, one uses specially selected deterministic sequences rather than random sequences as in Monte Carlo. These special sequences are known as low discrepancy sequences and have the property that they tend to be evenly dispersed throughout the unit cube. For many applications in finance, the use of low discrepancy sequences seems to provide more accurate answer than random sequences.

Description: ARCH Research Clearing House 2000.1 Contents

Description: Discusses a method for division of workload in a consulting firm in a way which will minimize cost.

Description: This is an announcement for the 36th Annual Actuarial Research Conference.

Description: The basic thesis of this paper is that student capability to iNteract with new problems can be significantly increased by frequently exposing them to Written derivations, verbal-Intuitive justification of formulae and core sets of Comprehensive techniques by which to approach problems. Both instructor composition of problem resources for presentation and student practice of these problem resources can be achieved by semi-mechanical procedures accessible to everyone. For brevity we shall refer to this type of instruction by the acronym WINC. Presented at the 30th Actuarial Research Conference, August 17-19, 1995, Pennsylvania State University, Pennsylvania

Description: This is a listing of the attendees for the 31st Annual Actuarial Research Conference.

Description: This is a listing of the 29th Annual Actuarial Research Conference participants.

Description: This research paper presents a method for smoothing mortality rates using multi-dimensional Whittaker-Henderson Graduation. The paper answers the question: For a given level of fit, how are the smoothness parameters to be chosen so that the graduated rates form, in some natural sense, the smoothest discrete surface?