Research Article
Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models
Table 3
Multiple comparison results with ranked strategies for hold-out sample.
| Data preprocess | Measure | Prediction horizon () | Rank of strategies | 1 | | 2 | | 3 | | 4 | | 5 | | 6 |
| Non-deseasonalization-detrending | | 1 | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-SVM | | I-ARIMA | | D-ARIMA | 2 | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 4, 12 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 6, 18 | D-ARIMA-SVM | | I-ARIMA-SVM | | D-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 8, 1–24 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 24 | D-ARIMA-SVM | | I-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | | 1 | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-SVM | | I-ARIMA | | D-ARIMA | 2 | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 4, 12 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 6 | I-ARIMA-SVM | | D-ARIMA-SVM | | D-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 8, 24, 1–24 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 18 | D-ARIMA-SVM | | I-ARIMA-SVM | | D-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | | 1 | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-SVM | | I-ARIMA | | D-ARIMA | 2 | I-ARIMA-SVM | | D-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 4, 1–24 | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 6 | D-SVM | | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 8 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 12 | I-SVM | | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | D-ARIMA | | I-ARIMA | 18 | D-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA-SVM | | D-ARIMA | | I-ARIMA | 24 | I-SVM | | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-ARIMA | | D-ARIMA |
| Deseasonalization-detrending | | 1 | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-SVM | | I-ARIMA | | D-ARIMA | 2 | D-ARIMA-SVM | | I-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 4 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 6, 18, 24 | D-ARIMA-SVM | | I-ARIMA-SVM | | D-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 8, 1–24 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 12 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | | 1 | I-ARIMA-SVM | | D-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 2 | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 4, 12 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 6, 18 | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-SVM | | I-ARIMA | | D-ARIMA | 8, 24, 1–24 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | | 1, 2 | I-ARIMA-SVM | | D-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 4 | D-ARIMA-SVM | | I-ARIMA-SVM | | D-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 6 | D-SVM | | I-ARIMA-SVM | | D-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 8 | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA | 12 | I-SVM | | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | D-ARIMA | | I-ARIMA | 18 | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | I-SVM | | D-ARIMA | | I-ARIMA | 24 | I-SVM | | D-SVM | | D-ARIMA-SVM | | I-ARIMA-SVM | | I-ARIMA | | D-ARIMA | 1–24 | D-ARIMA-SVM | | D-SVM | | I-ARIMA-SVM | | I-SVM | | I-ARIMA | | D-ARIMA |
|
|
Note: * The mean difference between the two adjacent strategies is significant at the 0.05 level.
|