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: Panelists discuss prevailing business models adopted by valuation departments to meet business needs. Two case studies are discussed as a means of illustrating how to optimize business processes and models for valuation purposes.

Description: Report on the EuSpRIG Annual Meeting last July in Paris, which focused on modeling.

Description: Feature article discussing what American actuaries can learn from their European counterparts about actuarial modeling.

Description: This dissertation by Tia Sawhney will help you understand this issue and start measuring it, or start promoting equitable public policy.

Description: This paper focuses on graduation of mortality data and considers models that are functions of age, and duration since selection. From the Actuarial Research Clearing House 1990 Vol. 1.

Description: Spark offers a way to get some dramatic speed and scalability advantages over the Map-reduce methodology whenever you are doing iterative data processing and particularly when you want interactive data analysis capability. Find out why “lazy execution” can be a desirable characteristic when dealing with big data.

Description: This article walks through the history of model efficiency in the U.S. life insurance industry, examines its current application, and looks ahead to what we might expect to see in the future.