Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting
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Citations
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Cited by:
- Deschamps, Elaine, 2004. "The impact of institutional change on forecast accuracy: A case study of budget forecasting in Washington State," International Journal of Forecasting, Elsevier, vol. 20(4), pages 647-657.
- Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
- Rianne Legerstee & Philip Hans Franses, 2014.
"Do Experts’ SKU Forecasts Improve after Feedback?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 69-79, January.
- Legerstee, R. & Franses, Ph.H.B.F., 2011. "Do experts' SKU forecasts improve after feedback?," Econometric Institute Research Papers EI2011-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Rianne Legerstee & Philip Hans Franses, 2011. "Do Experts' SKU Forecasts improve after Feedback?," Tinbergen Institute Discussion Papers 11-135/4, Tinbergen Institute.
- Contadini, Jose F., 2002. "Life Cycle Assessment of Fuel Cell Vehicles - Dealing with Uncertainties," Institute of Transportation Studies, Working Paper Series qt9gz1s67d, Institute of Transportation Studies, UC Davis.
- Petropoulos, Fotios & Goodwin, Paul & Fildes, Robert, 2017. "Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge," International Journal of Forecasting, Elsevier, vol. 33(1), pages 314-324.
- Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
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