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