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Results for ARIMA

Publications & Outputs

  1. State-space ARIMA for supply-chain forecasting

    Svetunkov, I. & Boylan, J. E., 1/02/2020, In: International Journal of Production Research. 58, 3, p. 818-827 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. A Simple Combination of Univariate Models

    Petropoulos, F. & Svetunkov, I., 1/01/2020, In: International Journal of Forecasting. 36, 1, p. 110-115 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Forecasting the Search Trend of Muslim Clothing in Indonesia on Google Trends Data Using ARIMAX and Neural Network

    Suhermi, N., Suhartono, U., Permata, R. P. & Rahayu, S. P., 30/09/2019, Soft Computing in Data Science: 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings. Berry, M. W., Yap, B. W., Mohamed, A. & Koppen, M. (eds.). Singapore: Springer, p. 272-286 15 p. (Communications in Computer and Information Science; vol. 1100).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

    Barak, S. & Sadegh, S. S., 1/11/2017, In: International Journal of Electrical Power and Energy Systems. 82, p. 92-104 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. Supply chain forecasting when information is not shared

    Ali, M. M., Babai, M. Z., Boylan, J. E. & Syntetos, A. A., 1/08/2017, In: European Journal of Operational Research. 260, 3, p. 984-994 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Statistical models underlying functions of 'smooth' package for R

    Svetunkov, I., 28/02/2017, Lancaster: Lancaster University Management School, p. 1-52, 52 p.

    Research output: Working paper

  7. Is there a golden rule?

    Fildes, R. & Petropoulos, F., 08/2015, In: Journal of Business Research. 68, 8, p. 1742-1745 4 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Forecasting nonlinear time series with a hybrid methodology

    Aladag, C. H., Egrioglu, E. & Kadilar, C., 1/09/2009, In: Applied Mathematics Letters. 22, 9, p. 1467-1470 4 p.

    Research output: Contribution to journalJournal articlepeer-review

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  1. Using ARIMA models in supply chain forecasting

    Svetunkov, I. & Boylan, J.

    13/07/16 → …

    Project: NonFunded ProjectResearch