1 - 3 of 3 results (0.41 seconds)
Sort By:
  • Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries Appendix
    treatments have changed considerably since the 1970’s. However, underlying economic principles are constant ... Lost and Medical Resource Use Source Headache, 2000. Volume 40:282-291 Context Description The ...

    View Description

    • Authors: Louise H Anderson, Ian G Duncan, Katherine Hall, Brian C Martinson
    • Date: Sep 2007
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Modeling & Statistical Methods>Markov Chain; Modeling & Statistical Methods>Stochastic models
  • Health Section News
    System effort, which examined various aspects of the U.S. health care system and recommended areas for actuarial ... graduate school days when Iwas pursuing a Master ’s degree in Economics. However, a small paperback book ...

    View Description

    • Authors: Society of Actuaries, Louise H Anderson, Ian G Duncan, William Lane, Stephen P Melek, Steven Siegel, Gail M Lawrence, Jim Toole, Application Administrator, Julie Trocchio
    • Date: May 2007
    • Publication Name: Health Watch
  • Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries
    However, a recent call for proposals for modeling mortality and lapse risks in life insurance shows an expanded ... of simulation model, multi-state, dynamic life-table models (of which the PopMod model used by Lauer ...

    View Description

    • Authors: Louise H Anderson, Ian G Duncan, Katherine Hall, Brian C Martinson
    • Date: Sep 2007
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>External forces and business performance
    • Topics: Enterprise Risk Management; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Markov Chain; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models