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Journal of Probability and Statistics
Volume 2017, Article ID 3174305, 8 pages
https://doi.org/10.1155/2017/3174305
Research Article

Forecasting Time Series Movement Direction with Hybrid Methodology

1Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
2Centre of Excellence in Mathematics, Commission on Higher Education, Ratchathewi, Bangkok 10400, Thailand
3Faculty of Commerce and Management, Prince of Songkla University, Trang Campus, Trang 92000, Thailand

Correspondence should be addressed to Arthit Intarasit; moc.liamg@tisaratni.a

Received 30 November 2016; Revised 26 March 2017; Accepted 4 April 2017; Published 31 July 2017

Academic Editor: Dejian Lai

Copyright © 2017 Salwa Waeto et al. 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.

How to Cite this Article

Salwa Waeto, Khanchit Chuarkham, and Arthit Intarasit, “Forecasting Time Series Movement Direction with Hybrid Methodology,” Journal of Probability and Statistics, vol. 2017, Article ID 3174305, 8 pages, 2017. https://doi.org/10.1155/2017/3174305.