Showing 21 - 40 results of 147 for search '"actuary"', query time: 0.04s Refine Results
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    The Arcsine Exponentiated-X Family: Validation and Insurance Application by Wenjing He, Zubair Ahmad, Ahmed Z. Afify, Hafida Goual

    Published 2020-01-01
    “…Maximum likelihood is used to estimate the model parameters, and its performance is evaluated by two simulation studies. Actuarial measures including Value at Risk and Tail Value at Risk are derived for the ASE-W distribution. …”
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    POT-Based Estimation of the Renewal Function of Interoccurrence Times of Heavy-Tailed Risks by Abdelhakim Necir, Abdelaziz Rassoul, Djamel Meraghni

    Published 2010-01-01
    “…Our results provide actuaries with confidence bounds for the renewal function of dangerous risks.…”
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    Estimating 𝐿-Functionals for Heavy-Tailed Distributions and Application by Abdelhakim Necir, Djamel Meraghni

    Published 2010-01-01
    “…𝐿-functionals summarize numerous statistical parameters and actuarial risk measures. Their sample estimators are linear combinations of order statistics (𝐿-statistics). …”
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    Conditional value-at-risk bounds for compound Poisson risks and a normal approximation by Werner Hürlimann

    Published 2003-01-01
    “…This important class of nonnormal loss distributions finds applications in actuarial science, where it is able to model the aggregate claims of an insurance-risk business.…”
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    Prevention of Peritoneal Metastases from Colon Cancer in High-Risk Patients: Preliminary Results of Surgery plus Prophylactic HIPEC by Paolo Sammartino, Simone Sibio, Daniele Biacchi, Maurizio Cardi, Fabio Accarpio, Pietro Mingazzini, Maria Sofia Rosati, Tommaso Cornali, Angelo Di Giorgio

    Published 2012-01-01
    “…Peritoneal recurrence developed in 4% of patients in the experimental group and 22% of controls without increasing morbidity (𝑃<0.05). Actuarial overall survival curves disclosed no significant differences, whereas actuarial disease-free survival curves showed a significant difference between groups (36.8 versus 21.9 months, 𝑃<0.01). …”
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