Modeling Rainfall in Three Northern Nigerian States with SARIMA (1981–2020)

Auteurs-es

  • TERKUMA DAHIDA Department of Mathematics, Nigerian Army University Biu, Born State, Nigeria Auteur-e
  • Haruna U. Yahaya Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria Auteur-e
  • Thaddeus Pever Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria Auteur-e
  • Obele T. Elorhor Department of Economics, Nigerian Army University Biu, Borno State, Nigeria Auteur-e
  • Sameerah Haruna Department of Economics, Nigerian Army University Biu, Borno State, Nigeria Auteur-e

DOI :

https://doi.org/10.62054/ijdm/0302.26

Résumé

This study compares the forecasting models of monthly rainfall data of three northern Nigerian states which are Katsina, Borno and Sokoto. The analysis is based on using monthly amount of rainfall data from January 1981 to December 2020.The data were stationary at first difference with p-values less than 0.05, Seasonal autoregressive Integrated moving Average (SARIMA) models were computed and diagnosed. Diagnostic test was run on the models where the results showed that the models were adequate and serially uncorrelated using Box-Ljung test plot respectively. Furthermore, SARIMA(10, 1, 10) x(1, 2, 1)12 , SARIMA(10, 1, 10) x(1, 2, 1)12 and SARIMA(1, 1, 1) x(1, 2, 1)12 were found to be adequate from the result of the Box-Ljung test of residuals respectively. The results showed that, the three selected models were best for each variable on monthly rainfall in the three northern Nigeria states.

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Publié

2026-06-12

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Comment citer

Modeling Rainfall in Three Northern Nigerian States with SARIMA (1981–2020). (2026). International Journal of Development Mathematics (IJDM), 3(2), 409-427. https://doi.org/10.62054/ijdm/0302.26