Research Paper | Statistics | Saudi Arabia | Volume 9 Issue 9, September 2020
Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model
Abstract: In this paper, we predict average monthly temperature in Al-Baha region, Saudi Arabia, from June 2003 to December 2019, using SARIMA (Self-Regressive Seasonal Moving Average) techniques. A detailed explanation of model selection and prediction accuracy is provided. The results of the model analysis show that the proposed research approach obtains good predictive accuracy.
Keywords: Temperatures, Box-Jenkins, S ARIMA, Evaluation criteria
Edition: Volume 9 Issue 9, September 2020,
Pages: 1375 - 1381
How to Cite this Article?
Salem Alzahrani, "Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR20924204412, Volume 9 Issue 9, September 2020, 1375 - 1381
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