Table 7.5. Distribution of the highest age in cohorts 1871-80. Various models
| Expected value |
Standard deviation |
Percentiles | ||
| 1% | 99% | |||
| Males: | ||||
| Gompertz | 109.93 | 0.96 | 108.2 | 112.6 |
| Weibull | 110.93 | 1.09 | 109.0 | 113.9 |
| Heligman & Pollard | 111.10 | 1.14 | 109.1 | 114.3 |
| Quadratic | 113.09 | 1.44 | 110.7 | 117.3 |
| Kannisto | 113.68 | 1.57 | 111.1 | 118.5 |
| Logistic | 113.52 | 1.53 | 110.9 | 118.0 |
| Females: | ||||
| Gompertz | 111.85 | 0.92 | 110.2 | 114.4 |
| Weibull | 113.02 | 1.05 | 111.1 | 115.9 |
| Heligman & Pollard | 113.19 | 1.10 | 111.3 | 116.3 |
| Quadratic | 115.49 | 1.43 | 113.1 | 119.7 |
| Kannisto | 116.15 | 1.56 | 113.6 | 120.8 |
Logistic |
116.39 |
1.59 | 113.7 | 121.1 |
| Method: | For all except the Quadratic model, the calculations start with 3.2 million males and 4.8 million females in these cohorts reaching age 80. The parameters are fitted to the cohort data at all ages 80 and over. For the Quadratic model, the calculation starts with 1.46 million males and 2.55 million females reaching age 85, and the parameters are fitted to all ages 85 and over. |