Home > Research > Centre for Marketing Analytics & Forecasting > Publications & Outputs

Research

View graph of relations

Centre for Marketing Analytics

131 - 140 out of 562Page size: 10
RSS feed of this list
Sort by: Title
  1. Published

    Demand forecasting with user-generated online information

    Schaer, O., Kourentzes, N. & Fildes, R. A., 01/2019, In: International Journal of Forecasting. 35, 1, p. 197-212 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Demand uncertainty and lot sizing in manufacturing systems: the effects of forecasting errors and mis-specification

    Kingsman, B. G. & Fildes, R. A., 2005, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  3. Published

    Derived Demand and Oligopoly

    Latham, R. & Peel, D., 05/1977, In: Bulletin of Economic Research. 29, 1, p. 3-8 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Designing Serious Games for Revenue Management Training and Strategy Development

    Cleophas, C., 9/12/2012, WSC '12 Proceedings of the Winter Simulation Conference. Berlin, Germany: Association for Computing Machinery (ACM), p. 140:1–140:12 12 p. 140. (Proceedings of the Winter Simulation Conference).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Detecting demand outliers in transport systems

    Rennie, N., 2021, Lancaster University. 272 p.

    Research output: Thesis › Doctoral Thesis

  6. Published

    Determining the number of real roots of polynomials through neural networks

    Mourrain, B., Pavlidis, N., Tasoulis, D. K. & Vrahatis, M. N., 02/2006, In: Computers and Mathematics with Applications. 51, 3-4, p. 527-536 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Developing an approach to evaluate stocks by forecasting effective features with data mining methods

    Barak, S. & Modarres, M., 15/02/2015, In: Expert Systems with Applications. 42, 3, p. 1325-1339 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Distributions of forecasting errors of forecast combinations: implications for inventory management

    Barrow, D. K. & Kourentzes, N., 07/2016, In: International Journal of Production Economics. 177, p. 24-33 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Divisive clustering of high dimensional data streams

    Hofmeyr, D., Pavlidis, N. & Eckley, I., 09/2016, In: Statistics and Computing. 26, 5, p. 1101–1120 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?

    Petropoulos, F., Fildes, R. A. & Goodwin, P., 16/03/2016, In: European Journal of Operational Research. 249, 3, p. 842-852 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

Previous 1...10 11 12 13 14 15 16 17 ...57 Next

Back to top