Title
Using judgment to select and adjust forecasts from statistical models
Abstract
•People are capable of selecting the best forecast out of two presented to them.•People follow forecasts of perceived good quality more than those of low quality.•People learn from good quality models.
Year
DOI
Venue
2020
10.1016/j.ejor.2020.01.028
European Journal of Operational Research
Keywords
DocType
Volume
Forecasting,Judgmental selection,Judgmental adjustment,Forecast support systems
Journal
284
Issue
ISSN
Citations 
3
0377-2217
1
PageRank 
References 
Authors
0.38
0
2
Name
Order
Citations
PageRank
Shari De Baets110.38
Nigel Harvey282.60