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  • Coherent Mortality Modeling for a Group of Populations
    Coherent Mortality Modeling for a Group of Populations Presented at Living to 100 Symposium, January 2011. This research studies coherent mortality modeling by combining a group of populations ...

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    • Authors: Ching-Syang Jack Yue, Yu-Yun Yeh, Sharon Yang
    • Date: Jan 2011
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Demography>Longevity; Modeling & Statistical Methods>Forecasting
  • A Justification of Some Common Laws of Mortality
    A Justification of Some Common Laws of Mortality This paper introduces the modern concepts and definitions of the statistical subject of life testing, and ties them in with corresponding concepts ...

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    • Authors: David R Brillinger
    • Date: Jun 1961
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Experience Studies & Data>Mortality; Modeling & Statistical Methods>Forecasting
  • An Algorithm for Computing Expected Stop-Loss Claims under a Group Life Contract
    An Algorithm for Computing Expected Stop-Loss Claims under a Group Life Contract This paper by John Mereu describes a method for mathematically computing the expected loss under a group life ...

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    • Authors: William A Bailey, Hans U Gerber, L Giles, Richard S Hester, Donald A Jones, John A Mereu, Gerald J Rankin, Courtland C Smith, William J Taylor
    • Date: Oct 1972
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Transactions of the SOA
    • Topics: Life Insurance>Group plans - Life Insurance; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
  • The next step forward: Can one actuarial system do it all?
    The next step forward: Can one actuarial system do it all? The next evolution of actuarial systems in the U.S. will likely be a move toward a single system solution. This article defines a single ...

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    • Authors: Corey A Carriker, Jason Morton, Ryan Kiefer
    • Date: Dec 2015
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Actuarial Profession>Best practices; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
  • Retirement Needs Framework, Chapter 15: Retirement and Health - Estimates and Projections of Acute and Long-Term Care Needs and Expenditures of the U.S. Elderly Population
    Retirement Needs Framework, Chapter 15: Retirement and Health - Estimates and Projections of Acute and Long-Term Care Needs and Expenditures of the U.S. Elderly Population This paper employs a ...

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    • Authors: P J Stallard
    • Date: Jan 2000
    • Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Modeling & Statistical Methods>Forecasting; Pensions & Retirement>Retirement risks
  • Future Focus: The Next Fifteen Years - A Review Of The World Future Society Meeting In New York
    Future Focus: The Next Fifteen Years - A Review Of The World Future Society Meeting In New York Presented at October 1986 Annual Meeting. This session discussion is about the World Future ...

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    • Authors: Sam Gutterman, Frederick Kilbourne, Wilfred A Kraegel, Deborah Prince
    • Date: Oct 1986
    • Competency: Strategic Insight and Integration>Big picture view
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods>Forecasting
  • Bayesian Bivariate Graduation and Forecasting
    Bayesian Bivariate Graduation and Forecasting In this paper we shall present our results in terms of the estimation of human mortality rates, but the results carry over to other applications. We ...

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    • Authors: James C Hickman, Robert B Miller
    • Date: Mar 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>Bayesian methods; Modeling & Statistical Methods>Forecasting
  • Introduction to Forecasting Methods for Actuaries
    Introduction to Forecasting Methods for Actuaries This article provides a brief introduction to forecasting methods that are potentially relevant to actuarial work. 9329 9/1/2009 12:00:00 AM ...

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    • Authors: Alan Mills
    • Date: Sep 2009
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Modeling & Statistical Methods>Forecasting
  • Letters to the Editor Scrapping Social Security’s Intermediate Cost Projections
    Letters to the Editor Scrapping Social Security’s Intermediate Cost Projections This article offers a critique of explanatory text and principal economic and demographic assumption tables from ...

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    • Authors: David Langer
    • Date: Mar 2004
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Pension Section News
    • Topics: Modeling & Statistical Methods>Forecasting; Social Insurance>Social Security
  • Mortality improvement modeling in the US
    Mortality improvement modeling in the US This article describes techniques and models used to forecast mortality improvement and the considerations that underlie long-term mortality improvement ...

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    • Authors: Francisco Orduna, Bruce Rosner
    • Date: Jan 2014
    • Competency: Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Pension Section News
    • Topics: Demography>Mortality - Demography; Demography>Longevity; Demography>Population data; Experience Studies & Data>Mortality; Modeling & Statistical Methods>Forecasting