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On the graduations associated with a multiple state model for permanent health insurance

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  • Renshaw, A. E.
  • Haberman, S.

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  • Renshaw, A. E. & Haberman, S., 1995. "On the graduations associated with a multiple state model for permanent health insurance," Insurance: Mathematics and Economics, Elsevier, vol. 17(1), pages 1-17, August.
    • Handle: RePEc:eee:insuma:v:17:y:1995:i:1:p:1-17
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    References listed on IDEAS

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    1. Patrick Royston & Douglas G. Altman, 1994. "Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(3), pages 429-453, September.
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    1. Renshaw, A. E. & Haberman, S., 2000. "Modelling the recent time trends in UK permanent health insurance recovery, mortality and claim inception transition intensities," Insurance: Mathematics and Economics, Elsevier, vol. 27(3), pages 365-396, December.
    2. Manuel L. Esquível & Nadezhda P. Krasii & Gracinda R. Guerreiro, 2024. "Estimation–Calibration of Continuous-Time Non-Homogeneous Markov Chains with Finite State Space," Mathematics, MDPI, vol. 12(5), pages 1-21, February.
    3. Renshaw, A. E. & Haberman, S., 1997. "Dual modelling and select mortality," Insurance: Mathematics and Economics, Elsevier, vol. 19(2), pages 105-126, April.
    4. George Mavridoglou & Peter Kiochos, 2011. "Sickness recovery intensities for short term health insurance in Greece," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 61(1-2), pages 39-54, january -.
    5. Qiqi Wang & Katja Hanewald & Xiaojun Wang, 2022. "Multistate health transition modeling using neural networks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 475-504, June.
    6. Czado, Claudia & Rudolph, Florian, 2002. "Application of survival analysis methods to long-term care insurance," Insurance: Mathematics and Economics, Elsevier, vol. 31(3), pages 395-413, December.

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