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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 | ||
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آمار تعداد مشاهده مقاله: 278 تعداد دریافت فایل اصل مقاله: 146 |
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