Prediction of Monthly Fluoride Content in Tigris River using SARIMA Model in R Software
The need to create the optimal water quality management process has motivated researchers to pursue prediction modeling development. One of the widely important forecasting models is the sessional autoregressive integrated moving average (SARIMA) model. In the present study, a SARIMA model was devel...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad
2016-08-01
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| Series: | Journal of Engineering |
| Subjects: | |
| Online Access: | http://joe.uobaghdad.edu.iq/index.php/main/article/view/156 |