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Comparing the predictive performance of a neural network model with some traditional market response models

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  • Dasgupta, Chanda Ghose
  • Dispensa, Gary S.
  • Ghose, Sanjoy

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  • Dasgupta, Chanda Ghose & Dispensa, Gary S. & Ghose, Sanjoy, 1994. "Comparing the predictive performance of a neural network model with some traditional market response models," International Journal of Forecasting, Elsevier, vol. 10(2), pages 235-244, September.
    • Handle: RePEc:eee:intfor:v:10:y:1994:i:2:p:235-244
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    Cited by:

    1. Mitchell, Vincent-Wayne & Davies, Fiona & Moutinho, Luiz & Vassos, Vassiliades, 1999. "Using Neural Networks to Understand Service Risk in the Holiday Product," Journal of Business Research, Elsevier, vol. 46(2), pages 167-180, October.
    2. Balakrishnan, Nagraj & Chakravarty, Amiya K. & Ghose, Sanjoy, 1997. "Role of design-philosophies in interfacing manufacturing with marketing," European Journal of Operational Research, Elsevier, vol. 103(3), pages 453-469, December.
    3. Fen-May Liou & Ying-Chan Tang & Jean-Yi Chen, 2008. "Detecting hospital fraud and claim abuse through diabetic outpatient services," Health Care Management Science, Springer, vol. 11(4), pages 353-358, December.
    4. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean Marie, 2005. "A short and mean-term automatic forecasting system--application to textile logistics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 275-284, February.
    5. Potharst, R. & van Rijthoven, M. & van Wezel, M.C., 2005. "Modeling brand choice using boosted and stacked neural networks," Econometric Institute Research Papers EI 2005-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Michele Marchesi & Giancarlo Succi & Barbara Russo, 2007. "A model of the dynamics of the market of COTS software, in the absence of new entrants," Information Systems Frontiers, Springer, vol. 9(2), pages 257-265, July.
    7. Vroomen, Bjorn & Hans Franses, Philip & van Nierop, Erjen, 2004. "Modeling consideration sets and brand choice using artificial neural networks," European Journal of Operational Research, Elsevier, vol. 154(1), pages 206-217, April.
    8. Bergtold, Jason S. & Taylor, Daniel B. & Bosch, Darrell J., 2003. "Networking Your Way to a Better Prediction: Effectively Modeling Contingent Valuation Survey Data," 2003 Annual meeting, July 27-30, Montreal, Canada 22152, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Hu, Michael Y. & Tsoukalas, Christos, 2003. "Explaining consumer choice through neural networks: The stacked generalization approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 650-660, May.
    10. G. Verstraeten & D. Van Den Poel, 2006. "Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/360, Ghent University, Faculty of Economics and Business Administration.
    11. Qi, Min & Yang, Sha, 2003. "Forecasting consumer credit card adoption: what can we learn about the utility function?," International Journal of Forecasting, Elsevier, vol. 19(1), pages 71-85.
    12. Hussein A. Abdou & John Pointon, 2011. "Credit Scoring, Statistical Techniques And Evaluation Criteria: A Review Of The Literature," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 18(2-3), pages 59-88, April.
    13. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean-Marie, 2005. "A global forecasting support system adapted to textile distribution," International Journal of Production Economics, Elsevier, vol. 96(1), pages 81-95, April.

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