Titleholder Data and Estimation
Cross-source consensus on Titleholder Data and Estimation from 1 sources and 6 claims.
1 sources · 6 claims
How it works
Preparation
Evidence quality
Where it comes from
Highlighted claims
- The empirical application uses Gerontology Research Group world-oldest-person titleholder data since 1955. — Modelling the age distribution of longevity leaders
- The titleholder data are transformed into death time, deceased titleholder age, and successor age triples. — Modelling the age distribution of longevity leaders
- Maximum likelihood estimation is based on the titleholder transition likelihood. — Modelling the age distribution of longevity leaders
- The integrals in the likelihood are evaluated numerically because the gamma-Gompertz parameter a depends on the integration variable. — Modelling the age distribution of longevity leaders
- Optimization was implemented in Python with Nelder-Mead and repeated tolerance adjustment. — Modelling the age distribution of longevity leaders
- The fitted model provides a good fit to titleholder data from 1955 to 2019. — Modelling the age distribution of longevity leaders