@article{Mohammed Salisu_Shabri_2020, title={A Hybrid Wavelet-Arima Model for Standardized Precipitation Index Drought Forecasting}, volume={36}, url={https://matematika.utm.my/index.php/matematika/article/view/1152}, DOI={10.11113/matematika.v36.n2.1152}, abstractNote={<p><strong>ABSTRACT</strong></p><p><span class="fontstyle0">This paper proposes A Hybrid Wavelet-Auto-Regressive Integrated Moving<br />Average (W-ARIMA) model to explore the ability of the hybrid model over an ARIMA<br />model. It combines two methods, a Discrete Wavelet Transform (DWT) and ARIMA<br />model using the Standardized Precipitation Index (SPI) drought data for forecasting<br />drought modeling development. SPI data from January 1954 to December 2008 used was<br />divided into two - (80%/20% for training/testing respectively). The results were compared<br />with the conventional ARIMA model with Mean Square Error (MSE) and Mean Average<br />Error (MAE) as an error measure. The results of the proposed method achieved the best<br />forecasting performance.</span> <br /><br /></p>}, number={2}, journal={MATEMATIKA}, author={Mohammed Salisu, Alfa and Shabri, Ani}, year={2020}, month={Aug.}, pages={141–156} }