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The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy

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  • J. Scott Armstrong

Abstract

Using findings from empirical-based comparisons, the author presents nine generalizations that can improve forecast accuracy. These are often ignored by organizations, so that attention to them offers substantial opportunities for gain. Copyright International Institute of Forecasters, 2005

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Bibliographic Info

Article provided by International Institute of Forecasters in its journal Foresight: The International Journal of Applied Forecasting.

Volume (Year): (2005)
Issue (Month): 1 (June)
Pages: 29-35

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Handle: RePEc:for:ijafaa:y:2005:i:1:p:29-35

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Cited by:
  1. Bera, Soumitra Kumar, 2010. "Forecasting model of small scale industrial sector of West Bengal," MPRA Paper 28144, University Library of Munich, Germany.
  2. Sanchez-Ubeda, Eugenio Fco. & Berzosa, Ana, 2007. "Modeling and forecasting industrial end-use natural gas consumption," Energy Economics, Elsevier, vol. 29(4), pages 710-742, July.

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