Date of this Version
Preview: Using findings from empirically-based comparisons, Scott develops nine generalizations that can improve forecast accuracy. He finds that these are often ignored by organizations, so that attention to them offers substantial opportunities for gain. In this paper, Scott offers recommendations on how to structure a forecasting problem, how to tap managers’ knowledge, and how to select appropriate forecasting methods.
Armstrong, J. S. (2005). The forecasting canon: nine generalizations to improve forecast accuracy. Retrieved from https://repository.upenn.edu/marketing_papers/35
Date Posted: 18 August 2006