Title
Decision support for the decomposition of event information in judgemental time series forecasting
Abstract
Substantial recent emphasis has been placed on the importance of discontinuities and contextual information in time series forecasting. To accommodate these factors, statistical forecasts are often judgementally adjusted in an ad hoc, informal manner that is prone to bias, especially when the model is not understood. The paper reports an alternative approach. An interactive graphical decision aid was developed, enabling the forecaster to: decompose discontinuities for contextual 'event' information; forecast from the resultant simplified series; and anticipate future events in the forecast. Empirical tests showed a significant improvement in forecast accuracy over unaided judgement. This effect occurred for series with upward and downward slopes, and with small and large numbers of special events.<>
Year
DOI
Venue
1994
10.1109/HICSS.1994.323346
System Sciences, 1994. Proceedings of the Twenty-Seventh Hawaii International Conference  
Keywords
Field
DocType
computer graphics,decision support systems,forecasting theory,time series,DSS,contextual information,decision support,event information,forecast accuracy,interactive graphical decision aid,judgemental time series forecasting,statistical forecasts,time series forecasting
Econometrics,Time series,Contextual information,Classification of discontinuities,Computer science,Decision support system,Judgement,Forecasting theory,Computer graphics
Conference
Volume
Citations 
PageRank 
3
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Richard Webby1566.70
Edmundson, B.200.34