Research Article
Use of Wavelet and Bootstrap Methods in Streamflow Prediction
Table 3
Performance of various WFORS models with different mother wavelet functions.
| Wavelet | Vanishing moment | NSE | RMSE (m3/s) | MAE (m3/s) | CP |
| Haar | 1 | 0.9560 | 0.3850 | 0.2688 | 0.9596 | Coif1 | 1 | 0.9283 | 0.4600 | 0.2627 | 0.9288 | Coif2 | 2 | 0.9582 | 0.3261 | 0.2127 | 0.9389 | Coif4 | 4 | 0.9634 | 0.2764 | 0.1818 | 0.9314 | Db4 | 4 | 0.9476 | 0.3770 | 0.2519 | 0.9418 | Db10 | 10 | 0.9469 | 0.3225 | 0.2172 | 0.9275 | Db12 | 12 | 0.9641 | 0.2700 | 0.1926 | 0.9514 | Db15 | 15 | 0.9617 | 0.2726 | 0.2114 | 0.9616 | Db20 | 20 | 0.9578 | 0.3250 | 0.2291 | 0.9465 | Sym2 | 2 | 0.9764 | 0.2533 | 0.1903 | 0.9725 | Sym6 | 6 | 0.9770 | 0.2516 | 0.1767 | 0.9612 | Sym12 | 12 | 0.9687 | 0.2576 | 0.1520 | 0.9378 | Sym15 | 15 | 0.9776 | 0.2250 | 0.1469 | 0.9521 | Sym20 | 20 | 0.9681 | 0.2390 | 0.1538 | 0.9467 |
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