Armstrong, J. Scott2023-05-222023-05-222005-06-012006-06-17https://repository.upenn.edu/handle/20.500.14332/39526Preview: 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.Statistics and ProbabilityThe forecasting canon: nine generalizations to improve forecast accuracyArticle