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Centre for Marketing Analytics

  1. 2018
  2. Published

    Complex Exponential Smoothing for Seasonal Time Series

    Svetunkov, I. & Kourentzes, N., 01/2018, Lancaster: Department of Management Science, Lancaster University, p. 1-20, 20 p.

    Research output: Working paper

  3. Published

    Demand Forecasting for Managers, Kolassa Stephan, Siemsen Enno. Business Expert Press, LLC, New York (2016), ISBN: 978-1-60649-502-5

    Kourentzes, N., 01/2018, In: International Journal of Forecasting. 34, 1, p. 117-118 2 p.

    Research output: Contribution to Journal/MagazineBook/Film/Article review

  4. Published

    A context-aware approach for handling concept drift in classification

    Barakat, L., 2018, Lancaster University. 214 p.

    Research output: ThesisDoctoral Thesis

  5. Published
  6. Published

    Forewarned: A Sceptic’s Guide to Prediction

    Schaer, O. & Spavound, S., 2018, In: Foresight: The International Journal of Applied Forecasting. 48, p. 17-18 2 p.

    Research output: Contribution to Journal/MagazineBook/Film/Article review

  7. Published

    Old dog, new tricks: a modelling view of simple moving averages

    Svetunkov, I. & Petropoulos, F., 2018, In: International Journal of Production Research. 56, 18, p. 6034-6047 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Temporal big data for tire industry tactical sales forecasting

    Sagaert, Y. R., Aghezzaf, E-H., Kourentzes, N. & Desmet, B., 2018, In: Interfaces. 48, 2, p. 121-129 9 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. 2017
  10. Published

    Excavating the Treasure of IoT Data: An Architecture to Empower Rapid Data Analytics for Predictive Maintenance of Connected Vehicles

    Cleophas, C., 10/12/2017.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  11. Published

    Multiplicative State-Space Models for Intermittent Time Series

    Svetunkov, I. & Boylan, J. E., 7/11/2017, Lancaster: Lancaster University Management School, 43 p.

    Research output: Working paper

  12. 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

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