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Centre for Marketing Analytics

  1. Published

    Recent developments in demand forecasting for airline revenue management

    Cleophas, C., Frank, M. & Kliewer, N., 2009, In: International Journal of Revenue Management. 3, 3, p. 252-269 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. 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

  3. Published

    A neural network approach for the Theta model

    Constantinidou, C., Nikolopoulos, K., Bougioukos, N., Tsiafa, E., Petropoulos, F. & Assimakopoulos, V., 2012, In: Lecture Notes in Information Technology. 25, p. 116-120 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  4. Published

    AR–ARCH Type Artificial Neural Network for Forecasting

    Corba, B. S., Egrioglu, E. & Dalar, A. Z., 1/02/2020, In: Neural Processing Letters. 51, p. 819–836 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. Published

    The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing

    Crone, S., Lessmann, S. & Stahlbock, R., 2006, In: European Journal of Operational Research. 173, 3, p. 781-800 20 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Published

    Stepwise selection of artificial neural network models for time series prediction

    Crone, S., 2005, In: Journal of Intelligent Systems. 14, 2-3, p. 99-122 24 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    Künstliche neuronale Netze zur betrieblichen Entscheidungsunterstützung

    Crone, S., 2003, In: WISU - Das Wirtschaftsstudium. 32, 4, p. 452-458 7 p.

    Research output: Contribution to journalJournal article

  8. Published

    Forecasting with computational intelligence - An evaluation of support vector regression and artificial neural networks

    Crone, S., Lessmann, S. & Pietsch, S., 2006, Proceedings of the World Congress in Computational Intelligence, WCCT06 (Vancouver, Canada) - 2006, IEEE: New York. N/A: IEEE Computer Society Press

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

  9. Published

    The impact of preprocessing on support vector regression and neural networks in time series prediction

    Crone, S., Guajardo, J. & Weber, R., 2006, Proceedings of the International Conference on Data Mining DMIN'06 (Las Vegas, USA) 2006, CSREA, pp.37-42. N/A: unknown, p. 37-42 6 p.

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

  10. Published

    A study on the ability of support vector regression and neural networks to forecast basic time series patterns

    Crone, S., Guajardo, J. & Weber, R., 2006, Artificial Intelligence in Theory and Practice, Proceedings of the IFIP World Congress in Computation, WCC'06 (Santiago, Chile) - 2006, Springer: New York, Vol. 217, pp.149-158. Berlin: Springer

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

  11. Published

    An extended evaluation framework for neural network publications in sales forecasting

    Crone, S. & Prebmar, D., 2006, Proceedings of the International Conference on Applied Artificial Intelligence, AIA'06 (Innsbruck, Austria) - 2006, ACTA Press: Calgary, pp.179-186. N/A: unknown

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

  12. Published

    Utility based data mining for time series analysis - Cost sensitive learning for neural network predictors

    Crone, S., Lessmann, S. & Stahlbock, R., 2005, Proceedings of the International Workshop on Utility-based Data Mining, ACM Conference on Knowledge Discovery in Data, KDD'05 (Chicago, USA) 2005. N/A: unknown, p. 59-68 10 p.

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

  13. Published

    Support vector machines versus artificial neural networks - new potential in data mining for customer relationship management?

    Crone, S., Lessmann, S. & Stahlbock, R., 2005, Neural Network Applications in Information Technology and Web Engineering. Malaysia: Borneo Publishing, p. 80-93 14 p.

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

  14. 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

  15. Published

    Predicting customer online shopping adoption - an evaluation of data mining and market modelling approaches

    Crone, S. & Soopramanien, D. G. R., 2005, Proceedings of The 2005 International Conference on Data Mining, DMIN 2005, Las Vegas, Nevada, USA. Athens: CSREA Press, p. 47-58 12 p.

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

  16. Published

    Prediction of the CATS benchmark using a business forecasting approach to multilayer perceptron modelling

    Crone, S., Kausch, H. & Prebmar, D., 2004, Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN'04 Budapest, Hungary. N/A: IEEE Computer Society Press, Vol. 4. p. 2783-2788 6 p.

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

  17. Published

    Empirical comparison and evaluation of classifier performance for data mining in customer relationship management

    Crone, S., Lessmann, S. & Stahlbock, R., 2004, Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN'04 Budapest, Hungary. N/A: IEEE Computer Society Press, Vol. 1. p. 43-48 6 p.

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

  18. Published

    A business forecasting competition approach to modeling artificial neural networks for time series prediction

    Crone, S., 2004, Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, June 21-24, 2004, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 207-213 7 p.

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

  19. Published

    An evaluation framework for publications on artificial neural networks in sales forecasting

    Crone, S. & Grafeille, P. C., 2004, Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, June 21-24, 2004, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 221-227 7 p.

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

  20. Published

    Artificial neural networks for time series prediction - A novel approach to inventory management using asymmetric cost functions

    Crone, S., 2003, Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA. Athens: CSREA Press, Vol. 1. p. 193-199 7 p.

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

  21. Published

    Prediction of white noise time series using artificial neural networks and asymmetric cost functions

    Crone, S., 2003, Proceedings of the IEEE International Joint Conference on Neural Networks, 2003. N/A: IEEE Computer Society Press, Vol. 4. p. 2460-2465 6 p.

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

  22. Published

    Training artificial neural networks for time series prediction using asymmetric cost functions

    Crone, S., 2002, Proceedings of the 9th International Conference on neural information processing, 2002. ICONIP '02. N/A: IEEE Computer Society Press, Vol. 5. p. 2374- 2380 7 p.

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

  23. Published

    Forecasting seasonal time series with neural networks: a sensitivity analysis of architecture parameters

    Crone, S. & Dahwan, R., 2007, Proceedings of the International Joint Conference on Neural Networks, IJCNN'07 (Orlando, USA) - 2007. N/A: IEEE Computer Society Press

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

  24. Published

    A naïve support vector regression benchmark for the NN3 forecasting competition

    Crone, S. & Pietsch, S., 2007, Proceedings of the International Joint Conference on Neural Networks, IJCNN'07 (Orlando, USA) - 2007. N/A: IEEE Computer Society Press

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

  25. Published

    Parameter sensitivity of support vector regression and neural networks for forecasting

    Crone, S., Lessmann, S. & Pietsch, S., 2006, Proceedings of the International Conference on Data Mining DMIN'06 (Las Vegas, USA) 2006, CSREA, pp.396-402. Athens: CSREA Press

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

  26. Published

    Input variable selection for time series prediction with neural networks- an evaluation of visual, autocorrelation and spectral analysis for varying seasonality

    Crone, S. & Kourentzes, N., 2007, The 1st European Symposium on Time Series Prediction, ESTSP'07 (Helsinki, Finland) - 2007. N/A: unknown

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

  27. Published

    Mining the past to forecast the future: comments

    Crone, S., 2009, In: International Journal of Forecasting. 25, 3, p. 456–460 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  28. Published

    Feature selection for time series prediction - A combined filter and wrapper approach for neural networks

    Crone, S. F. & Kourentzes, N., 06/2010, In: Neurocomputing. 73, 10-12, p. 1923-1936 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  29. Published

    Forecasting seasonal time series with multilayer perceptrons - an empirical evaluation of input vector specifications for deterministic seasonality

    Crone, S. & Kourentzes, N., 2009, Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. . Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press, p. 232-238 7 p.

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

  30. 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

  31. Published

    Simultane Bedarfsprognose und Warendisposition mit künstlichen Neuronalen Netzen: Fachbeitrag GOR Dissertationspreis 2009

    Crone, S., 2011, In: OR News. 38 , p. 13-17 5 p.

    Research output: Contribution to journalJournal article

  32. Published

    The impact of preprocessing on forecasting electrical load: an empirical evaluation of segmenting time series into subseries

    Crone, S. F. & Kourentzes, N., 2011, The 2011 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 3285-3292 8 p.

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

  33. Published

    Instance sampling in credit scoring: An empirical study of sample size and balancing

    Crone, S. F. & Finlay, S., 01/2012, In: International Journal of Forecasting. 28, 1, p. 224-238 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  34. Published

    Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

    Crone, S. F., Hibon, M. & Nikolopoulos, K., 07/2011, In: International Journal of Forecasting. 27, 3, p. 635-660 26 p.

    Research output: Contribution to journalJournal articlepeer-review

  35. Published

    Naive Support Vector Regression and Multilayer Perceptron Benchmarks for the 2010 Neural Network Grand Competition (NNGC) on Time Series Prediction

    Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. - 8 p.

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

  36. Published

    Input-variable Specification for Neural Networks - an Analysis of Forecasting low and high Time Series Frequency

    Crone, S. F. & Kourentzes, N., 2009, International Joint Conference on Neural Networks, 2009. IJCNN 2009.. New York: IEEE, p. 3221-3228 8 p.

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

  37. Published

    Neuronale Netze zur Prognose und Disposition im Handel: Doktorarbeit, eingereicht an der Universität Hamburg

    Crone, S., 03/2010, Frankfurt a.M.: Gabler.

    Research output: Book/Report/ProceedingsBook

  38. Published

    The management of OR groups: results of a survey

    Crymble, W. R., Ranyard, J. C. & Fildes, R. A., 1999, In: Journal of the Operational Research Society. 50, p. 563-580 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  39. Published

    Death of an OR group: a case study

    Crymble, W. R., Fildes, R. A. & Ranyard, J. C., 1997, In: Journal of the Operational Research Society. 48, 4, p. 361-372 12 p.

    Research output: Contribution to journalJournal articlepeer-review

  40. Published

    The effect of recovery algorithms on compressive sensing background subtraction

    Davies, R., Mihaylova, L., Pavlidis, N. & Eckley, I., 10/2013, Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on. IEEE, p. 1-6 6 p.

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

  41. Published

    Judgmental Adjustments to Demand Forecasts: Accuracy Evaluation and Bias Correction

    Davydenko, A., Fildes, R. A. & Trapero Arenas, J. R., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  42. Published

    Measuring the Accuracy of Judgmental Adjustments to SKU-level Demand Forecasts

    Davydenko, A., Fildes, R. A. & Trapero Arenas, J. R., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  43. Published

    A joint Bayesian forecasting model of judgment and observed data: Working paper 2012: 4

    Davydenko, A. & Fildes, R., 10/2012, Lancaster: Department of Management Science, Lancaster University.

    Research output: Working paper

  44. Published

    Measuring forecasting accuracy: the case of judgmental adjustments to SKU-level demand forecasts

    Davydenko, A. & Fildes, R., 07/2013, In: International Journal of Forecasting. 29, 3, p. 510-522 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  45. Published

    E-Commerce Effects on Energy Consumption: A Multi-Year Ecosystem-Level Assessment

    Dost, F. & Maier, E., 08/2018, In: Journal of Industrial Ecology. 22, 4, p. 799-812 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  46. Published

    Value-based pricing in competitive situations with the help of multi-product price response maps

    Dost, F. & Geiger, I., 07/2017, In: Journal of Business Research. 76, p. 219-236 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  47. Published

    Revisiting firm-created word of mouth: High-value versus low-value seed selection

    Dost, F., Sievert, J. & Kassim, D., 03/2016, In: International Journal of Research in Marketing. 33, 1, p. 236-239 4 p.

    Research output: Contribution to journalJournal articlepeer-review

  48. Published

    On the Edge of Buying: A Targeting Approach for Indecisive Buyers Based on Willingness-to-Pay Ranges

    Dost, F., Wilken, R., Eisenbeiss, M. & Skiera, B., 09/2014, In: Journal of Retailing. 90, 3, p. 393-407 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  49. Published

    Measuring willingness to pay as a range, revisited: When should we care?

    Dost, F. & Wilken, R., 06/2012, In: International Journal of Research in Marketing. 29, 2, p. 148-166 19 p.

    Research output: Contribution to journalJournal articlepeer-review

  50. 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 journalJournal articlepeer-review

  51. Published

    Intuitionistic time series fuzzy inference system

    Egrioglu, E., Bas, E., Yolcu, O. C. & Yolcu, U., 30/06/2019, In: Engineering Applications of Artificial Intelligence. 82, p. 175-183 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  52. Published

    Median-Pi artificial neural network for forecasting

    Egrioglu, E., Yolcu, U., Bas, E. & Dalar, A. Z., 18/01/2019, In: Neural Computing and Applications. 31, 1, p. 307-316 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  53. Published

    Picture fuzzy time series: Defining, modeling and creating a new forecasting method

    Egrioglu, E., Bas, E., Yolcu, U. & Chen, M. Y., 28/02/2020, In: Engineering Applications of Artificial Intelligence. 88, 13 p., 103367.

    Research output: Contribution to journalJournal articlepeer-review

  54. Published

    Finding an optimal interval length in high order fuzzy time series

    Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Basaran, M. A., 1/07/2010, In: Expert Systems with Applications. 37, 7, p. 5052-5055 4 p.

    Research output: Contribution to journalJournal articlepeer-review

  55. Published

    A new approach based on artificial neural networks for high order bivariate fuzzy time series

    Egrioglu, E., Uslu, V. R., Yolcu, U., Basaran, M. A. & Hakan, A. C., 1/01/2009, Applications of Soft Computing: From Theory to Praxis. Springer-Verlag, p. 265-273 9 p. (Advances in Intelligent and Soft Computing; vol. 58).

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

  56. Published

    A new approach based on artificial neural networks for high order multivariate fuzzy time series

    Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Basaran, M. A., 1/09/2009, In: Expert Systems with Applications. 36, 7, p. 10589-10594 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  57. 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 journalJournal articlepeer-review

  58. 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 journalJournal articlepeer-review

  59. Published

    Bayesian model selection in ARFIMA models

    Eǧrïoǧlu, E. & Günay, S., 1/01/2010, In: Expert Systems with Applications. 37, 12, p. 8359-8364 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  60. E-pub ahead of print

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

    Eğrioğlu, E. & Fildes, R., 20/11/2020, In: Computational Economics. 29 p.

    Research output: Contribution to journalJournal articlepeer-review

  61. Published

    Enhancing differential evolution utilizing proximity-based mutation operators

    Epitropakis, M., Tasoulis, D. K., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2011, In: IEEE Transactions on Evolutionary Computation. 15, 1, p. 99-119 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  62. Published

    Tracking differential evolution algorithms: an adaptive approach through multinomial distribution tracking with exponential forgetting

    Epitropakis, M., Tasoulis, D., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2012, Artificial Intelligence: Theories and Applications: 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings. Maglogianis, I., Plagianakos, V. & Vlahavas, I. (eds.). Berlin: Springer Verlag, p. 214-222 9 p. (Lecture Notes in Computer Science; vol. 7297).

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

  63. Published

    Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting

    Epitropakis, M., Tasoulis, D. K., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 10/06/2012, 2012 IEEE Congress on Evolutionary Computation (CEC2012) . IEEE, 8 p.

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

  64. Published

    How consumer mindset response and long-term marketing effectiveness differ in emerging versus mature markets

    Erguncu, S. & Yildirim, G., 06/2014, Brand management in emerging markets: theories and practices. Wang, C. L. & He, J. (eds.). Hershey, Pa.: IGI Global

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  65. Published

    Valuing customer portfolios with endogenous mass-and-direct-marketing interventions using a Stochastic Dynamic Programming Decomposition

    Esteban-Bravo, M., Vidal-Sanz, J. M. & Yildirim, G., 2014, In: Marketing Science. 33, 5, p. 621-640 20 p.

    Research output: Contribution to journalJournal articlepeer-review

  66. Published

    Historical impact of technological change on the US mass media advertising expenditure

    Esteban-Bravo, M., Vidal-Sanz, J. M. & Yildirim, G., 11/2015, In: Technological Forecasting and Social Change. 100, p. 306-316 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  67. Published

    The accuracy of a procedural approach to specifying feedforward neural networks for forecasting

    Fildes, R. A. & Liao, K. P., 2003, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  68. Published

    Levels, differences and ECMs - principles for improved econometric forecasting

    Fildes, R. A. & Allen, P. G., 2004, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  69. Published

    Econometric forecasting: strategies and techniques

    Fildes, R. A. & Allen, P. G., 2001, Principles of Forecasting: A Handbook for Researchers and Practitioners. Berlin: Springer, p. 303-362 60 p.

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

  70. 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

  71. Published

    Judgemental forecasts of times series affected by special events: does providing a statistical forecast improve accuracy?

    Fildes, R. A. & Goodwin, P., 1999, In: Journal of Behavioral Decision Making. 12, p. 37-53 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  72. Published

    The foundations, development and current practice of OR

    Fildes, R. A. & Ranyard, J. C., 1998, In: Journal of the Operational Research Society. 49, p. 304-443 140 p.

    Research output: Contribution to journalJournal articlepeer-review

  73. Published

    The role of prices in models of innovation diffusion

    Fildes, R. A. & Bottomley, P., 1998, In: Journal of Forecasting. 17, 7, p. 539-555 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  74. Published

    Winners and losers: adding organisational value

    Fildes, R. A. & Ranyard, J. C., 1998, In: Journal of the Operational Research Society. 49, p. 355-368 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  75. Published

    Summary of final discussion

    Fildes, R. A. & Ranyard, J. C., 1998, In: Journal of the Operational Research Society. 49, p. 434-443 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  76. Published

    Success and survival of operational research groups - a review

    Fildes, R. A. & Ranyard, J. C., 1997, In: Journal of the Operational Research Society. 48, 4, p. 336-360 25 p.

    Research output: Contribution to journalJournal articlepeer-review

  77. Published

    Telecommunications demand - a review

    Fildes, R. A., 2002, In: International Journal of Forecasting. 18, p. 489-522 34 p.

    Research output: Contribution to journalJournal articlepeer-review

  78. Published

    The state of macroeconomic forecasting

    Fildes, R. A. & Stekler, H., 2002, In: Journal of Macroeconomics. 24, 4, p. 435-468 34 p.

    Research output: Contribution to journalJournal articlepeer-review

  79. Published

    Beyond forecasting competitions

    Fildes, R. A., 2001, In: International Journal of Forecasting. 17, 4, p. 556-560 5 p.

    Research output: Contribution to journalJournal articlepeer-review

  80. Published

    Sales forecasting support systems (FSS) for the supply chain

    Fildes, R. A. & Nikolopoulos, K., 2004, Operational Research 46th Annual Conference (York ) - 2004. N/A: unknown

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

  81. Published

    The design features of forecasting support systems and their effectiveness

    Fildes, R. A., Goodwin, P. & Lawrence, M., 2006, In: Decision Support Systems. 42, 1, p. 351-361 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  82. Published

    Effective forecasting for supply-chain planning: an empirical evaluation and strategies for improvement

    Fildes, R. A., Goodwin, P., Lawrence, M. & Nikolopoulos, K., 2006, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  83. Published

    Against your better judgment? How organizations can improve their use of management judgment in forecasting

    Fildes, R. A. & Goodwin, P., 2007, N/A: unknown, 7 p. (Interfaces).

    Research output: Working paper

  84. Published

    Optimal forecasting model selection and data characteristics

    Fildes, R. A., Tan, J. & Madden, G., 2007, In: Applied Financial Economics. 17, p. 1251-1264 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  85. Published

    Providing support for the use of analogies in demand forecasting tasks

    Fildes, R. A., Lee, W. Y., Goodwin, P. & Nikolopoulos, K., 2007, In: International Journal of Forecasting. 23, p. 377-390 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  86. Published

    Good and bad judgment in forecasting: lessons from four companies

    Fildes, R. A. & Goodwin, P., 2007, In: Foresight: The International Journal of Applied Forecasting. 8, p. 5-10 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  87. Published

    Validation in models of climate change and forecasting accuracy

    Fildes, R. A. & Kourentzes, N., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  88. Published

    Forecasting and OR

    Fildes, R. A., Nikolopoulos, K., Crone, S. & Syntetos, A., 2008, In: Journal of the Operational Research Society. 59, p. 1150-1172 23 p.

    Research output: Contribution to journalJournal articlepeer-review

  89. Published

    Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning

    Fildes, R. A., Goodwin, P., Lawrence, M. & Nikolopoulos, K., 2009, In: International Journal of Forecasting. 25, 1, p. 3-23 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  90. Published

    Incorporating demand uncertainty and forecasting in supply chain planning models

    Fildes, R. A. & Kingsman, B. G., 2011, In: Journal of the Operational Research Society. 62, p. 483-500 18 p.

    Research output: Contribution to journalJournal articlepeer-review

  91. Published

    Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures

    Fildes, R., Wei, Y. & Ismael, S., 07/2011, In: International Journal of Forecasting. 27, 3, p. 902-922 21 p.

    Research output: Contribution to journalJournal articlepeer-review

  92. Published

    Aggregate selection, data characteristics and choice of optimal model

    Fildes, R. A. & Madden, G., 2008, In: Telektronikk. 104, 3/4, p. 155-167 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  93. Published

    Forecasting and Operational Research: A Review

    Fildes, R. A., Nikolopoulos, K., Crone, S. & Syntetos, A., 09/2008, In: Journal of the Operational Research Society. 59, 9, p. 1150-1172 23 p.

    Research output: Contribution to journalJournal articlepeer-review

  94. Published

    Validation and forecasting accuracy in models of climate change

    Fildes, R. & Kourentzes, N., 10/2011, In: International Journal of Forecasting. 27, 4, p. 968-995 28 p.

    Research output: Contribution to journalJournal articlepeer-review

  95. Published

    Forecasting: 5 volume set

    Fildes, R. (ed.) & Allen, P. G., 2011, London: Sage. 2104 p. (SAGE Benchmarks in Social Research Methods )

    Research output: Book/Report/ProceedingsBook

  96. Published

    Validation and forecasting accuracy in models of climate change: Postscript

    Fildes, R. & Kourentzes, N., 10/2011, In: International Journal of Forecasting. 27, 4, p. 1004-1005 2 p.

    Research output: Contribution to journalEditorialpeer-review

  97. Published

    An evaluation of simple forecasting model selection rules

    Fildes, R. & Petropoulos, F., 04/2013, Lancaster: The Department of Management Science, p. 1-32, 32 p.

    Research output: Working paper

  98. Published

    Simple versus complex selection rules for forecasting many time series

    Fildes, R. & Petropoulos, F., 08/2015, In: Journal of Business Research. 68, 5, p. 1692-1701 10 p.

    Research output: Contribution to journalJournal articlepeer-review

  99. Published

    Forecasters and rationality: a comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding.

    Fildes, R., 01/2015, In: International Journal of Forecasting. 31, 1, p. 140-143 4 p.

    Research output: Contribution to journalJournal articlepeer-review

  100. Published

    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

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