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  • A Method for Determining Confidence Intervals for Trend
    A Method for Determining Confidence Intervals for Trend This paper presents a method involving re-sampling 'with replacement but without random numbers', numerical convolutions for ...

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    • Authors: William A Bailey
    • Date: Oct 1992
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Health & Disability>Health insurance; Modeling & Statistical Methods>Forecasting
  • Projections - How to Make Them and How to Use Them
    Projections - How to Make Them and How to Use Them This paper presents the fundamentals of creating and using projections. From Transactions of Society of Actuaries 1950, Vol. 2, No. 4. Pension ...

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    • Authors: Robert F Link, Robert J Myers, A M Niessen, Dorrance C. Bronson, W Rulon Williamson, Herbert J. Stark
    • Date: Nov 1950
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Modeling & Statistical Methods>Forecasting; Pensions & Retirement
  • Parametric Models for Life Tables
    Parametric Models for Life Tables This paper presents a general law of mortality that is equal to a mixture of Gompertz, Weibull, Inverse-Gompertz, and Inverse-Weibull survival functions.

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    • Authors: Jacques F Carriere
    • Date: Oct 1992
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Demography>Mortality - Demography; 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