Research Article
Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models
Table 1
Performance of the four forecasting methods for monthly fishery landing data.
| Data | Statistics | Model | ARIMA | WA1 | WA2 | WA3 |
| East Johor | RMSE | 971.29 | 736.13 | 574.22 | 574.65 | MAPE | 8.62% | 11.76% | 7.34% | 7.43% |
| Pahang | RMSE | 1776.01 | 1367.77 | 866.14 | 774.37 | MAPE | 14.77% | 11.27% | 7.73% | 7.00% |
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