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APPLIED MATHEMATICAL SCIENCES ISSN 1312-885X (print) ISSN 1314-7552 (online) |
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Sarah Abadan, Ani Shabri Hybrid empirical mode decomposition-ARIMA for forecasting price of rice Applied Mathematical Sciences, Vol. 8, 2014, no. 63, 3133-3143 http://dx.doi.org/10.12988/ams.2014.43189 Copyright © 2014 Sarah Abadan and Ani Shabri. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cited by (4): Saad Al-Baddai, Karema Al-Subari, Ana Maria Tome, Jordi Sole-Casals, Elmar Wolfgang Lang, A green’s function-based Bi-dimensional empirical mode decomposition, Information Sciences, 348 (2016), 305-321 [CrossRef] Yung-Hsing Peng, Chin-Shun Hsu and Po-Chuang Huang, An investigation of spacial approaches for crop price forecasting in different Taiwan markets, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), (2015) [CrossRef] Yung-Hsing Peng, Chin-Shun Hsu and Po-Chuang Huang, Developing crop price forecasting service using open data from Taiwan markets, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), (2015) [CrossRef] Urmil Verma, Time-Series Modeling and Forecasting of Sugarcane Yield in Haryana, Diss., CCS Haryana Agricultural University, 2015 [View at Publisher]
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