Abstract
Although judgment plays a significant role in the production and acceptance of forecasts, its performance in model selection has not been tested. In this article, Fotios demonstrates that the application of judgment to the selection of a forecasting model can improve forecast accuracy, and he presents the conditions where this is most likely to be the case.
| Original language | English |
|---|---|
| Pages (from-to) | 4-10 |
| Number of pages | 7 |
| Journal | Foresight: the International Journal of Applied Forecasting |
| Volume | 2019 |
| Issue number | 54 |
| Publication status | Published - 2019 |