Table 5. Estimation of parameters based on local linear regression on the 10 000 closest to the observed data set simulations using the best scenario (see Figure 4).
| Parameter | Mean of the posterior distribution | Median of the posterior distribution | RMAE |
|---|---|---|---|
| N | 3.82E+04 | 3.31E+04 | 0.420 |
| NOgy | 6.10E+04 | 6.65E+04 | 0.405 |
| NOu | 2.90E+04 | 1.98E+04 | 0.419 |
| NBb | 7.82E+00 | 5.66E+00 | 0.341 |
| NBe | 1.89E+01 | 1.45E+01 | 0.296 |
| NBgt | 5.47E+00 | 3.86E+00 | 0.281 |
| NBgy | 4.61E+00 | 3.10E+00 | 0.287 |
| NBu | 1.85E+01 | 1.44E+01 | 0.317 |
| Nb | 5.33E+04 | 5.50E+04 | 0.423 |
| Ne | 5.33E+04 | 5.45E+04 | 0.393 |
| Ngt | 4.93E+04 | 4.92E+04 | 0.434 |
| Ngy | 5.48E+04 | 5.74E+04 | 0.402 |
| Nu | 4.91E+04 | 4.89E+04 | 0.418 |
| TO | 2.86E+04 | 2.07E+04 | 0.339 |
| TFgy | 1.83E+02 | 1.55E+02 | 0.276 |
| TFu | 2.44E+02 | 2.26E+02 | 0.323 |
| TSb | 1.01E+02 | 8.39E+01 | 0.340 |
| TSe | 2.62E+01 | 2.18E+01 | 0.387 |
| TSgt | 5.20E+01 | 4.01E+01 | 0.405 |
| Mμmic | 2.48E−04 | 1.88E−04 | 0.282 |
| MP | 1.80E−01 | 1.69E−01 | 0.235 |
| Mμsni | 3.89E−06 | 2.40E−07 | 0.949 |
Abbreviation: RMAE, relative median of the absolute error.
RMAE taking the median of the posterior distribution as point estimates was computed on 300 pseudo-observed data sets simulated using the best scenario. Parameter names are the same as in Table 1.