Forecasting procedures are needed when there is uncertainty about the future. In our contribution we discuss some principles that can help to make more accurate forecasts and help to better assess the uncertainty associated with forecasts. We mainly discuss statistical forecasting procedures, but other principles based on experts (judgmental forecasting) and integrating and combining approaches are also mentioned. We show some results of forecasting in two different application areas.
CITATION STYLE
Pelikán, E. (1999). Principles of forecasting — a short overview. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1725, pp. 311–327). Springer Verlag. https://doi.org/10.1007/3-540-47849-3_19
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