Table 1. Predictive Performance Statistics.
Model | RMSE | SRMSE | R-sq.(adj) | AIC | ∆ AIC |
---|---|---|---|---|---|
(A) Month of the Year | 46.633 | 0.580 | 0.229 | 4884.18 | 0.00 |
(B) Meteorology Optimal | 44.540 | 0.553 | 0.282 | 3867.23 | -1016.96 |
(C) Surveillance: Short-term Lag | 45.046 | 0.560 | 0.294 | 4362.54 | -521.65 |
(D) Surveillance: Optimal Lag | 41.846 | 0.520 | 0.443 | 3228.67 | -1655.52 |
(E) Optimal Representation B-D | 32.448 | 0.403 | 0.636 | 2311.60 | -2572.58 |
∆ AIC = change in Akaike Information Criterion compared to the simplest model (A)