Research Article
Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling
Table 3
Chi-square (
) test with Wilcoxon signed rank method between regression and five different kernel methods.
(a) 4-NN |
| | | Ep | Qu | Tw | Tc | Co |
| Reg | | −3.823 | −3.823 | −3.823 | −3.823 | −3.823 | value | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 |
|
|
(b) 6-NN |
| | | Ep | Qu | Tw | Tc | Co |
| Reg | | −3.823 | −3.823 | −3.823 | −3.823 | −3.823 | value | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 |
|
|
(c) 8-NN |
| | | Ep | Qu | Tw | Tc | Co |
| Reg | | −3.823 | −3.823 | −3.823 | −3.823 | −3.823 | value | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 |
|
|
(Ep: Epanechnikov, Qu: Quartic, Tw: Triweight, Tc: Tricube, Co: Cosine, and Reg: regression).
|