Use of Wavelet and Bootstrap Methods in Streamflow Prediction

Table 4

Statistical indicator for MLR, FORS, QRS, WFORS, WQRS, WBFORS, and WBQRS models.

Models	Days	RMSE (m^3/s)	MAE (m^3/s)	NSE	CP
MLR	1 day	0.4010	0.2082	0.8426	0.7398
	2 day	0.4010	0.2064	0.8429	0.7399
	3 day	0.4010	0.2059	0.8430	0.7402
FORS	1 day	0.3780	0.1941	0.8621	0.7719
	2 day	0.3770	0.1923	0.8622	0.7719
	3 day	0.3770	0.1922	0.8622	0.7719
WFORS	1 day	0.2250	0.1470	0.9761	0.9521
	2 day	0.2230	0.1437	0.9779	0.9526
	3 day	0.2220	0.1415	0.9782	0.9529
WBFORS	1 day	0.0686	0.0466	0.9711	0.9816
	2 day	0.0313	0.0234	0.9925	0.9977
	3 day	0.0115	0.0086	0.9965	0.9984
QRS	1 day	0.3390	0.1952	0.8913	0.8201
	2 day	0.3390	0.1942	0.8913	0.8202
	3 day	0.3390	0.1936	0.8914	0.8202
WQRS	1 day	0.2170	0.1354	0.9796	0.9563
	2 day	0.2160	0.1328	0.9799	0.9565
	3 day	0.2150	0.1316	0.9800	0.9567
WBQRS	1 day	0.0356	0.0283	0.9877	0.9957
	2 day	0.0165	0.0106	0.9965	0.9974
	3 day	0.0147	0.0108	0.9954	0.9970