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  • Bridging Theory and Practice
    Bridging Theory and Practice Two breakout sessions were held. Their goal was to explore ways in which researchers and practitioners could be brought closer together. The following summaries were ...

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    • Authors: Stuart Klugman
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Actuarial Profession>Professional development; Modeling & Statistical Methods>Stochastic models
  • Believe It Or Not!
    Believe It Or Not! Presenters at session 9I of the Maui II Spring Meeting discuss credibility and why it should be important to the actuary. From the Record of the Society of Actuaries, Vol. 24, ...

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    • Authors: Thomas Herzog, Stuart Klugman
    • Date: Jun 1998
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods
  • Robust Mortality Estimation
    Robust Mortality Estimation There are three commonly used methods for compiling exposure and death data for use in obtaining crude mortality rates. They are lives, policies and amounts of ...

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    • Authors: Stuart Klugman
    • Date: Sep 1979
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
    • Publication Name: Actuarial Research Clearing House
    • Topics: Experience Studies & Data>Mortality; Modeling & Statistical Methods>Estimation methods
  • Changes Coming to the Syllabus for Exam MLC, Models for Life Contingencies
    Changes Coming to the Syllabus for Exam MLC, Models for Life Contingencies Announcement that learning objectives for Exam MLC, MODELS FOR LIFE CONTINGENCIES, are being revised and will be in ...

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    • Authors: Stuart Klugman
    • Date: Oct 2010
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Expanding Horizons
    • Topics: Actuarial Profession>Qualifications; Modeling & Statistical Methods