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Centre for Marketing Analytics

  1. Published

    Forecasting competitions - their role in improving forecasting practice and research

    Fildes, R. A. & Ord, J. K., 2002, A Companion to Economic Forecasting. Oxford: Blackwell, p. 322-353 32 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  2. Published

    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 Journal/MagazineJournal articlepeer-review

  3. Published

    Forecasting for intermittent demand: the estimation of an unbiased average

    Shale, E. A., Boylan, J. & Johnston, F. R., 1/05/2006, In: Journal of the Operational Research Society. 57, 5, p. 588-592 5 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Forecasting for inventory management of service parts

    Boylan, J. & Syntetos, A. A., 2008, Complex system maintenance handbook. Kobbacy, K. A. H. & Murthy, D. N. P. (eds.). Springer, p. 479-508 30 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  5. Published

    Forecasting for inventory planning: a 50-year review

    Syntetos, A. A., Boylan, J. & Disney, S. M., 2009, In: Journal of the Operational Research Society. 60, p. S149--S160 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Forecasting high-frequency time series with neural networks - an analysis of modelling challenges from increasing data frequency

    Crone, S. & Kourentzes, N., 2008, International Conference on Data Mining (Las Vegas) - 2008. Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press

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

  7. Published

    Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

    Aladag, C. H., Basaran, M. A., Egrioglu, E., Yolcu, U. & Uslu, V. R., 1/01/2009, In: Expert Systems with Applications. 36, 3 PART 1, p. 4228-4231 4 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Forecasting in inventory management using artificial neural networks - a novel approach through asymmetric cost functions

    Crone, S., 2003, Einsatz von Fuzzy Sets, Neuronalen Netzen und Kunstlicher Intelligenz in industrieller Produktion und Umweltforschung. Dusseldorf: VDI

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  9. Published

    Forecasting industrial production using non-linear methods

    Byers, D. & Peel, D., 07/1995, In: Journal of Forecasting. 14, 4, p. 325-336 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Forecasting internet telephony

    Raina, J., Day, K. & Fildes, R. A., 1998, In: OR Insight. 11, 4

    Research output: Contribution to Journal/MagazineJournal article

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