search query: @author Fildes, R. / total: 19
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| Author: | Fildes, R. |
| Title: | Evaluation of aggregate and individual forecast method selection rules. |
| Journal: | Management Science
1989 : SEP, VOL. 35:9, p. 1056-1065 |
| Index terms: | BUSINESS FORECASTING |
| Language: | eng |
| Abstract: | A major use of univariate forecasting methods lies in production control where there is a large number of series to be forecast. The appropriate choice of forecasting method has the potential for major cost savings through improved accuracy. Where a new method is to be compared to an already established procedure, two distinct approaches to select between the two can be considered: aggregate selection, where a single method is applied to all the time series, and individual selection, where the particular method appropriate for each series is identified and used to forecast future observations for that series. |
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