Open Access
| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 04028 | |
| Number of page(s) | 6 | |
| Section | Session 4: Information Theory and Information Systems | |
| DOI | https://doi.org/10.1051/itmconf/20171204028 | |
| Published online | 05 September 2017 | |
- Hong Meng Ji. Analysis on Passenger Transport Requirment and Passenger Volume Forcast of High Speed Railway[D]. Beijing Jiaotong Universit, 2015. [Google Scholar]
- Diongue A K, Diop A, Ndongo M. Seasonal fractional ARIMA with stable innovations[J]. Statistics & Probability Letters, 2008, 78(12):1404–1411. [CrossRef] [MathSciNet] [Google Scholar]
- Wang Y, Wang J, Zhao G, et al. Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China[J]. Energy Policy, 2012, 48(3):284–294. [CrossRef] [Google Scholar]
- Zhen Long Wang. Time series analysis[M]. Bei Jing: China Statistics Press, 2000. [Google Scholar]
- Kalekar P S. Time series Forecasting using Holt-Winters Exponential Smoothing[J]. Kanwal Rekhi School of Information Technology, 2004. [Google Scholar]
- Ching Fu Chen, Yu Hern Chang, Yu Wei Chang. Seasonal ARIMA forecasting of inbound air travel arrivals to Taiwan[J]. Transportmetrica, 2009, 5(2):125–140. [CrossRef] [Google Scholar]
- Montanari A, Rosso R, Taqqu M S. A seasonal fractional ARIMA Model applied to the Nile River monthly flows at Aswan[J]. Water Resources Research, 2000, 36(5):1249–1259. [CrossRef] [MathSciNet] [Google Scholar]
- Mohan S, Vedula S. Multiplicative seasonal Arima model for longterm forecasting of inflows[J]. Water Resources Management, 1995, 9(2):115–126. Article in a journal: [CrossRef] [Google Scholar]
- Diongue A K, Diop A, Ndongo M. Seasonal fractional ARIMA with stable innovations[J]. Statistics & Probability Letters, 2008, 78(12):1404–1411. [CrossRef] [MathSciNet] [Google Scholar]
- Aston J A D, Findley D F, Mcelroy T S, et al. New ARIMA Models for Seasonal Time Series and Their Application to Seasonal Adjustment and Forecasting[J]. Journal of Official Statistics, 2007(1). [Google Scholar]
- Kim B S, Hossein S Z, Choi G. Evaluation of temporal-spatial precipitation variability and prediction using seasonal ARIMA model in Mongolia[J]. KSCE Journal of Civil Engineering, 2011, 15(5):917–925. [CrossRef] [MathSciNet] [Google Scholar]
- Chatfield C. The Holt-Winters Forecasting Procedure[J]. Journal of the Royal Statistical Society, 1978, 27(3):264–279. [Google Scholar]
- Chatfield C, Yar M. Holt-Winters Forecasting: Some Practical Issues[J]. Journal of the Royal Statistical Society, 1988, 37(2):129–140. [Google Scholar]
- Kalekar P S. Time series Forecasting using Holt-Winters Exponential Smoothing[J]. Kanwal Rekhi School of Information Technology, 2004. [Google Scholar]
- Chatfield C, Yar M. Prediction intervals for multiplicative Holt-Winters[J]. International Journal of Forecasting, 1991, 7(1):31–37. [CrossRef] [Google Scholar]
- Roberts S A. A General Class of Holt-Winters Type Forecasting Models[M]. Informs, 1982. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.