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Comparative study of artificial neural network and statistical models for predicting student grade point averages

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  • Gorr, Wilpen L.
  • Nagin, Daniel
  • Szczypula, Janusz
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    File URL: http://www.sciencedirect.com/science/article/B6V92-45P4GNH-4H/2/1699b9d4abfb7e39a110e6ea8f50c17a
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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Forecasting.

    Volume (Year): 10 (1994)
    Issue (Month): 1 (June)
    Pages: 17-34

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    Handle: RePEc:eee:intfor:v:10:y:1994:i:1:p:17-34

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    Web page: http://www.elsevier.com/locate/ijforecast

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    Cited by:
    1. Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Norbert Schanne, 2009. "Neural Networks for Cross-Sectional Employment Forecasts: A Comparison of Model Specifications for Germany," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0903, USI Università della Svizzera italiana.
    2. Richards, Timothy J. & Patterson, Paul M. & van Ispelen, Pieter, 1998. "Modeling Fresh Tomato Marketing Margins: Econometrics And Neural Networks," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(2), October.
    3. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    4. Chatfield, Chris, 1995. "Positive or negative?," International Journal of Forecasting, Elsevier, vol. 11(4), pages 501-502, December.
    5. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.
    6. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2004. "Vector autoregressive models versus neural networks in forecasting: an application to Euro-inflation and divisia money," Money Macro and Finance (MMF) Research Group Conference 2003 5, Money Macro and Finance Research Group.
    7. Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
    8. Mostafa, Mohamed M. & Nataraajan, Rajan, 2009. "A neuro-computational intelligence analysis of the ecological footprint of nations," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3516-3531, July.

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