Model specification | (1) | (2) | (3) | (4) | (5) | (6) | (7) |
---|---|---|---|---|---|---|---|
Mean CHU9D | Min CHU9D | Max CHU9D | MAE | RMSE | MAE† | RMSE† | |
Observed | 0.8082 | 0.3479 | 1.0000 | ― | ― | ― | ― |
Method 1: Ordinary least squares estimator‡ | |||||||
Model 1 | 0.8082 | 0.4535 | 0.9817 | 0.0978 | 0.1238 | ― | ― |
Model 2 | 0.8082 | 0.4909 | 1.0342 | 0.0950** | 0.1193* | 0.0946 | 0.1190 |
Method 2: Censored least absolute deviations estimator | |||||||
Model 1 | 0.8185 | 0.4473 | 0.9944 | 0.0971 | 0.1243 | ― | ― |
Model 2 | 0.8179 | 0.4281 | 1.0802 | 0.0971 | 0.1247 | 0.0944 | 0.1219 |
Method 3: MM-estimator | |||||||
Model 1 | 0.8136 | 0.4156 | 1.0019 | 0.0972 | 0.1243 | 0.0971 | 0.1243 |
Model 2 | 0.8146 | 0.4807 | 1.0555 | 0.0946* | 0.1199** | 0.0937 | 0.1193 |
Method 4: Generalised linear model | |||||||
Model 1 | 0.8082 | 0.4693 | 0.9950 | 0.0975 | 0.1240 | ― | ― |
Model 2 | 0.8082 | 0.3760 | 0.9483 | 0.0971 | 0.1217 | ― | ― |