Estimating the Health State at Retirement: A Stochastic Modeling Approach
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-44695-6_30
Reference10 articles.
1. Janssen, J., & Skiadas, C. H. (1995). Dynamic modelling of life-table data. Applied Stochastic Models and Data Analysis, 11(1), 35–49.
2. Skiadas, C. H., & Skiadas, C. (2007). A modeling approach to life table data. In C. H. Skiadas (Ed.), Recent advances in stochastic modeling and data analysis (pp. 350–359). Singapore: World Scientific.
3. Skiadas, C., & Skiadas, C. H. (2010). Development, simulation and application of first exit time densities to life table data. Communications in Statistics, 39, 444–451.
4. Skiadas, C. H., & Skiadas, C. (2014). The first exit time theory applied to life table data: The health state function of a population and other characteristics. Communications in Statistics-Theory and Methods, 43, 1585–1600.
5. Skiadas, C. H., & Skiadas, C. (2015). Exploring the state of a stochastic system via stochastic simulations: An interesting inversion problem and the health state function. Methodology and Computing in Applied Probability, 17(4), 973–982.
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