Debilitation's aftermath: Stochastic process models of mortality
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Publication:4353380
DOI10.1080/08898488809525259zbMath0900.92123OpenAlexW2093385803MaRDI QIDQ4353380
James W. Vaupel, Kenneth G. Manton, Anatoliy I. Yashin
Publication date: 5 February 1998
Published in: Mathematical Population Studies (Search for Journal in Brave)
Full work available at URL: http://pure.iiasa.ac.at/id/eprint/2787/1/WP-86-074.pdf
Applications of statistics to actuarial sciences and financial mathematics (62P05) Population dynamics (general) (92D25)
Related Items (5)
Relatives' risks: Frailty models of life history data ⋮ Age patterns of mortality for older women: An analysis using the age‐specific rate of mortality change with age ⋮ Stochastic differential equations in mathematical demography: A review ⋮ Mortality Change and Forecasting ⋮ Stochastic differential equations in mathematical demography: A review
Cites Work
- Mortality and aging in a heterogeneous population: A stochastic process model with observed and unobserved variables
- Choice of function for mortality analysis: Effective forecasting depends on a minimum parameter representation
- A random-walk model of human mortality and aging
- A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
- The Stochastic Theory of Mortality*
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