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Improving forecasting through textbooks -- A 25 year review

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  • Cox, James Jr.
  • Loomis, David G.

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  • Cox, James Jr. & Loomis, David G., 2006. "Improving forecasting through textbooks -- A 25 year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 617-624.
    • Handle: RePEc:eee:intfor:v:22:y:2006:i:3:p:617-624
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    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(05)00129-9
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    References listed on IDEAS

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    1. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
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    1. Abounoori, Abbas Ali & Mohammadali, Hanieh & Gandali Alikhani, Nadiya & Naderi, Esmaeil, 2012. "Comparative study of static and dynamic neural network models for nonlinear time series forecasting," MPRA Paper 46466, University Library of Munich, Germany.
    2. Adrien Bernard Bonache & Marc Filser, 2013. "Comment améliorer la prévision des ventes pour le marketing ? Les apports de la théorie du chaos," Post-Print hal-03822792, HAL.
    3. Legaki, Nikoletta-Zampeta & Karpouzis, Kostas & Assimakopoulos, Vassilios & Hamari, Juho, 2021. "Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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