DocumentCode :
321788
Title :
Does feedback improve the accuracy of recurrent judgmental forecasts?
Author :
Remus, William ; O´Connor, Mike ; Griggs, Kenneth
Author_Institution :
Hawaii Univ., Honolulu, HI, USA
Volume :
3
fYear :
1997
fDate :
7-10 Jan 1997
Firstpage :
5
Abstract :
Summary form only given. Feedback has been shown to be a useful tool improving decision making and might also be a useful tool in improving the accuracy of recurrent judgmental forecasts. The objective of this study was to examine the impact of feedback on accuracy when forecasting time series with structural instabilities. The underlying model and definitions were derived from (Balzer et al., 1992); the experimental design was similar to that used by (Remus et al., 1995)
Keywords :
decision theory; forecasting theory; time series; cognitive feedback; decision making; experimental design; feedback; recurrent judgmental forecasts; structural instabilities; time series; Computer industry; Data analysis; Decision making; Design for experiments; Humans; Programming; Software packages; State feedback; Testing; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1997, Proceedings of the Thirtieth Hawaii International Conference on
Conference_Location :
Wailea, HI
ISSN :
1060-3425
Print_ISBN :
0-8186-7743-0
Type :
conf
DOI :
10.1109/HICSS.1997.661557
Filename :
661557
Link To Document :
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