Generalization and Communication Issues in the Use of Error Measures: A Reply
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Generalization and communication issues in the use o f error measures: A reply, Fred Collopy, The Weatherhead School, Case-Western Reserve University, Cleveland, Ohio 44118, USA and J. Scott Armstrong, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA. We agree with most of what the commentators say about Armstrong and Collopy (1992), hereafter referred to as “AC,” and Fildes (1992), hereafter referred to as “F.” Here, we address three issues where we do not agree entirely: (1) Can the results from the M-competition be generalized? (2) Is Theil's U2 easy to communicate? (3) Would a richer set of measures lead to improvements in the selection and development of forecasting methods? Our own answers to these questions are “yes,” “no,” and “probably not,” respectively.