Investigating the effect of observational data length on ARIMA modeling and forecasting accuracy: a case study of Kortian Stream watershed, Iran
Using autoregressive integrated moving average (ARIMA) for modeling and predicting time series is worldwide, but how many available recorded observations can be used for modeling to achieve better results is debatable. The length of data can significantly affect the results of ARIMA models. This art...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2022-11-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/22/11/8253 |