Modeling Monthly Average Temperature of Dhahran City of Saudi-Arabia Using Arima Models
International Journal of Data Science and Analysis
Volume 3, Issue 5, October 2017, Pages: 40-45
Received: Aug. 30, 2017; Accepted: Sep. 19, 2017; Published: Nov. 1, 2017
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Authors
Nurudeen Ayobami Ajadi, Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Nigeria
Jimoh Olawale Ajadi, Department of Mathematics and Statistics, King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia
Adams Saddam Damisa, Department of Statistics, Ahmadu Bello University, Zaria, Nigeria
Osebekwen Ebenezer Asiribo, Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Nigeria
Ganiyu Abayomi Dawodu, Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Nigeria
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Abstract
Temperature is the coldness and hotness of the body and its unit is measured in Celsius. The data used for this research work is the average monthly temperature of Dhahran city which is located in the Kingdom of Saudi Arabia. The data range is from 1951 to 2010, and sample data of 1951 to 2008 was used for the estimation to choose the best model and the sample data from 2009 through 2010 was left for the forecast. Different models were tried but ARIMA (2, 1, 1) (0, 1, 1)12 is selected as the best model because of its low sic and aic criteria and also the forecast error, the best model is used for forecasting.
Keywords
ARMA, ARIMA AR, MA, SMA
To cite this article
Nurudeen Ayobami Ajadi, Jimoh Olawale Ajadi, Adams Saddam Damisa, Osebekwen Ebenezer Asiribo, Ganiyu Abayomi Dawodu, Modeling Monthly Average Temperature of Dhahran City of Saudi-Arabia Using Arima Models, International Journal of Data Science and Analysis. Vol. 3, No. 5, 2017, pp. 40-45. doi: 10.11648/j.ijdsa.20170305.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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