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Shams, Mehdi, Mirzaie, Mohammad Ali. (1404). Air Pressure Modeling with an ARIMA Time Series Model. , 57(1), 59-79. doi: 10.22059/jac.2025.397946.1234
Mehdi Shams; Mohammad Ali Mirzaie. "Air Pressure Modeling with an ARIMA Time Series Model". , 57, 1, 1404, 59-79. doi: 10.22059/jac.2025.397946.1234
Shams, Mehdi, Mirzaie, Mohammad Ali. (1404). 'Air Pressure Modeling with an ARIMA Time Series Model', , 57(1), pp. 59-79. doi: 10.22059/jac.2025.397946.1234
Shams, Mehdi, Mirzaie, Mohammad Ali. Air Pressure Modeling with an ARIMA Time Series Model. , 1404; 57(1): 59-79. doi: 10.22059/jac.2025.397946.1234

Air Pressure Modeling with an ARIMA Time Series Model

Journal of Algorithms and Computation
مقاله 5، دوره 57، شماره 1، آبان 2025، صفحه 59-79    اصل مقاله (1.59 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jac.2025.397946.1234
نویسندگان
Mehdi Shams* 1؛ Mohammad Ali Mirzaie2
1Department of Mathematical Sciences, University of Kashan, Isfahan, Iran.
2Department of Mathematics, University of Kashan, Kashan, Iran
چکیده
‎Air pressure is an important measure for weather forecasting‎ , ‎and is also used in air transport‎ , ‎agriculture ‎, ‎NRM (Natural Resource Management)‎ , ‎astronomical observation‎, ‎geophysics‎, ‎geodesy ‎, ‎etc ‎. Air pressure is an important criterion for weather forecasting‎ , ‎and is also widely used in some branches of science ‎. ‎In this paper ‎, ‎we propose the " ARIMA model " for modeling air pressure at the Isfahan Airport meteorological station ‎.
‎In the next step ‎, ‎the model assumptions will be examined ‎. ‎Finally ‎, ‎we will show how well the model describes the data . For convenience, all R code used in the paper is included at the end of the paper in the Appendix section.
کلیدواژه‌ها
Akaike information criterion‎؛ ‎time series model‎؛ ‎forecasting‎؛ ‎Augmented Dickey-Fuller test‎؛ ‎Wald test‎
آمار
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