Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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

Salem Alzahrani

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

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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/search_index_results_paperid.php?id=SR20924204412, Volume 9 Issue 9, September 2020, 1375 - 1381

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