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Centre for Marketing Analytics

  1. Published

    A note on effective code-share management in practice

    Gerlach, M., Kliewer, N. & Cleophas, C., 1/10/2016, In: Journal of Air Transport Management. 57, p. 202-205 4 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Published

    A non-linear causal network of marketing channel system structure

    Dost, F., 03/2015, In: Journal of Retailing and Consumer Services. 23, p. 49-57 9 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    A New Taxonomy for Vector Exponential Smoothing and Its Application to Seasonal Time Series

    Svetunkov, I., Chen, H. & Boylan, J. E., 1/02/2023, In: European Journal of Operational Research. 304, 3, p. 964-980 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    A new model selection strategy in artificial neural networks

    Eǧrioǧlu, E., Aladaǧ, Ç. H. & Günay, S., 1/02/2008, In: Applied Mathematics and Computation. 195, 2, p. 591-597 7 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. E-pub ahead of print

    A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction

    Cagcag Yolcu, O., Bas, E., Egrioglu, E. & Yolcu, U., 1/11/2019, (E-pub ahead of print) In: Soft Computing. 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

    Egrioglu, E., Aladag, C. H., Yolcu, U., Basaran, M. A. & Uslu, V. R., 1/05/2009, In: Expert Systems with Applications. 36, 4, p. 7424-7434 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap

    Yolcu, U., Bas, E. & Egrioglu, E., 26/08/2018, In: Journal of Intelligent and Fuzzy Systems. 35, 2, p. 2349-2358 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

    Eğrioğlu, E. & Fildes, R., 30/04/2022, In: Computational Economics. 59, 4, p. 1355-1383 29 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    A new architecture selection strategy in solving seasonal autoregressive time series by artificial neural networks

    Aladag, C. H., Egrioglu, E. & Gunay, S., 1/12/2008, In: Hacettepe Journal of Mathematics and Statistics. 37, 2, p. 185-200 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    A new approach for determining the length of intervals for fuzzy time series

    Yolcu, U., Egrioglu, E., Uslu, V. R., Basaran, M. A. & Aladag, C. H., 1/03/2009, In: Applied Soft Computing Journal. 9, 2, p. 647-651 5 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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