Prediction of Currency Volume Issued in Taiwan Using a Hybrid Artificial Neural Network and Multiple Regression Approach

Table 2

Parameter estimates for the time series model.

The ARIMA procedure
Conditional least squares estimation
Parameter	Estimate	Standard error	𝑡 value	Approx. Pr>|𝑡|	Lag
MA1,1	0.59010	0.06694	8.82	<.0001	1
AR1,2	−0.83540	0.07871	−10.61	<.0001	12
AR1,3	−0.60107	0.08684	−6.92	<.0001	24