Browsing School of Economic Sciences and Business by Subject "Time series methods"
Now showing items 1-2 of 2
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‘Horses for Courses’ in demand forecasting
(Elsevier, 2014-02-22)Forecasting as a scientific discipline has progressed a lot in the last 40 years, with Nobel prizes being awarded for seminal work in the field, most notably to Engle, Granger and Kahneman. Despite these advances, even ...
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The M2-competition: A real-time judgmentally based forecasting study
(Elsevier, 1993)The purpose of the M2-Competition is to determine the post sample accuracy of various forecasting methods. It is an empirical study organized in such a way as to avoid the major criticism of the M-Competition that forecasters ...