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  • Actuarial Usage of Grouped Data: An Approach to Incorporating Secondary Data
    Actuarial Usage of Grouped Data: An Approach to Incorporating Secondary Data This paper addresses some pervasive problems in using secondary data in actuarial research. An approach to solving ...

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    • Authors: Samuel Cox, Patrick L Brockett, Yun Song, Boaz Golany, Fred Y Phillips
    • Date: Oct 1995
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Experience Studies & Data; Modeling & Statistical Methods
  • Periodograms of Graduation Operators
    Periodograms of Graduation Operators This paper presents the general notion of a periodogram, following Elphinstone's approach. The paper then goes on to examine symmetric linear operators ...

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    • Authors: George H Andrews, Cecil J Nesbitt
    • Date: Apr 1965
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Transactions of the SOA
    • Topics: Experience Studies & Data; Modeling & Statistical Methods>Estimation methods
  • Calculating ROI: Benefits of Workplace Financial Wellness
    Calculating ROI: Benefits of Workplace Financial Wellness Recent research from Financial Finesse introduces a viable way to forecast the potential return on investment (ROI) of workplace ...

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    • Authors: Gregory A Ward
    • Date: Jun 2017
    • Competency: Strategic Insight and Integration
    • Publication Name: Pension Section News
    • Topics: Experience Studies & Data; Modeling & Statistical Methods
  • Linking Quality and Cost: An Analysis of the Hospital Quality Information Initiative Measures
    Linking Quality and Cost: An Analysis of the Hospital Quality Information Initiative Measures Analysis of possible mathematical relationships between hospital quality and hospital billed or ...

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    • Authors: John Cookson, Eileen A Kurtz
    • Date: Nov 2006
    • Competency: Communication; Strategic Insight and Integration>Influence decisions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Experience Studies & Data; Health & Disability>Health care quality; Modeling & Statistical Methods>Data mining; Social Insurance>Medicare
  • To Err is Human, To Estimate is Actuarial
    To Err is Human, To Estimate is Actuarial Realizing the impact of medical errors on the U.S. health care system, the Health Section commissioned a research project to measure the annual frequency ...

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    • Authors: Steven Siegel
    • Date: Sep 2010
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving
    • Publication Name: Health Watch
    • Topics: Actuarial Profession>Academic partnerships; Economics>Health economics; Experience Studies & Data; Modeling & Statistical Methods>Data mining
  • Minimum-Rz Moving-Weighted-Average Formulas
    Minimum-Rz Moving-Weighted-Average Formulas In this paper, the coefficients of the minimum-Rz moving-weighted-average formulas are derived using matrix algebra and the method of Lagrange ...

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    • Authors: Elias Shiu
    • Date: Oct 1984
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Transactions of the SOA
    • Topics: Experience Studies & Data; Modeling & Statistical Methods
  • Salary Scales
    Salary Scales This paper surveys the actuarial techniques connected with salary scale mathematics for the valuation of defined benefit pension plans. Followed by several discussion ...

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    • Authors: Kenneth Altman, Samuel Eckler, Ralph E Edwards, Raymond B Krieger, Robert J Myers, Walter Riese, Conrad Siegel, John B Stearns, Geoffrey N Calvert, William F Marples
    • Date: Apr 1962
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Transactions of the SOA
    • Topics: Experience Studies & Data; Modeling & Statistical Methods; Pensions & Retirement>Assumptions and methods; Pensions & Retirement>Corporate plans; Pensions & Retirement>Defined benefit plans; Pensions & Retirement>Multi-employer plans; Pensions & Retirement>Public sector plans
  • Session 174: R 101: Available Actuarial Packages & Creating Reproducible Actuarial Analyses
    Session 174: R 101: Available Actuarial Packages & Creating Reproducible Actuarial Analyses The session offers high-level initial steps to get started using R, as well as a list of helpful ...

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    • Authors: Nicholas Hanewinckel, Matthew Zhang, Hadrien Dykiel, Ron Curran
    • Date: Mar 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Experience Studies & Data; Experience Studies & Data>Mortality; Modeling & Statistical Methods
  • Group Medical Insurance Large Claims Database Collection and Analysis, Chapter 1: History, Methodology, and Findings
    Group Medical Insurance Large Claims Database Collection and Analysis, Chapter 1: History, Methodology, and Findings Chapter 1 presents the background to the current study, followed by the ...

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    • Authors: Society of Actuaries
    • Date: Aug 1997
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Leadership>Professional network leverage; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Actuarial Profession>Academic partnerships; Experience Studies & Data; Health & Disability>Health risks; Modeling & Statistical Methods; Reinsurance>Health reinsurance
  • Cancer Experience Study Data Requirements
    Cancer Experience Study Data Requirements Data requirements for the Society of Actuaries cancer experience study, for those submitting exposure and claim information. Assumptions;Cancer;Health ...

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    • Authors: Society of Actuaries
    • Date: Jun 2005
    • Competency: Communication; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Topics: Experience Studies & Data; Health & Disability; Modeling & Statistical Methods>Data mining