Downloads: 61 | Views: 238
Research Paper | Statistics | Saudi Arabia | Volume 9 Issue 9, September 2020 | Popularity: 6.7 / 10
Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model
Salem Alzahrani
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
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 56 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Statistics, India, Volume 9 Issue 12, December 2020
Pages: 1556 - 1561Forecasting of Cotton Production in Nagpur District of Maharashtra India
Mayuri Barai, Gangesh Yadav, Abhay Khamborkar
Downloads: 127
Research Paper, Statistics, India, Volume 6 Issue 4, April 2017
Pages: 325 - 329Autoregressive Integrated Moving Average Model for Predicting Trend of Injury Mortality in India
M J Thirunavukkarasu, Bikash Kumar Das, H N Vrushabhendra
Downloads: 128
Research Paper, Statistics, Nigeria, Volume 4 Issue 5, May 2015
Pages: 2669 - 2676A Suitable Model for the Forecast of Exchange Rate in Nigeria (Nigerian Naira versus US Dollar)
Oladejo Michael Olatunji, Abdullahi Bello
Downloads: 182 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Statistics, India, Volume 6 Issue 3, March 2017
Pages: 556 - 563Forecasting Area, Production and Productivity of Mulberry Silk in India
Suresh Rai, R. K. Dwivedi