Main Article Content

Arshad Hamid Hassan
سارة عادل مظلوم
Shaima Mohamed Ahmed

Abstract

This study uses the Box-Jenkins seasonal time series model toostudy andianalyze the monthly maximum temperature data for the city of Baqubah during 2021-2023. The model is characterized by high accuracy and high analytical flexibility, as the results showed by the application side of the research, in which seasonal time series models were used, and these models are SARIMA (1,1,0)(1,1,2) 12 and SARIMA(1,1,0). (2,1,1) 12 and SARIMA (1,1,0) (1,1,1) 12 and other models. Also based on the quality standards of model compatibility (Akaiki information criterion, Bayes information criterion, and Hanan Quinn criterion), it was found that the appropriate mode was Effective for representing time series data is SARIMA(1,1,0)(1,1,2) 12 and based on model estimates, temperatures areipredicted for theiperiod from January 2021 to December 2023, where the values align with the corresponding values in the original time series.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Hamid Hassan أ., عادل مظلوم س., & Mohamed Ahmed ش. (2023). Using of Autoregressive and Seasonal Integrated Moving Averages Models to Forecasting the Maximum Temperatures for the City of Baquba. Bilad Alrafidain Journal of Humanities and Social Science, 5(2), 10–22. https://doi.org/10.54720/bajhss/2023.050202
Section
Articles