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Cited by 182

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The Accuracy of Combining Judgemental and Statistical Forecasts

Lawrence, M. J., Edmundson, R. H., O'Connor, M. J.·1986·Management Science

Abstract

Judgement based forecasts are widely used in practice either alone or in conjunction with computer prepared forecasts. This study empirically examines the improvement in accuracy which can be gained from combining judgemental forecasts, either with other judgemental or with quantitatively derived forecasts. Two judgemental forecasting approaches are used by each of two different groups in a laboratory setting to give four sets of judgemental forecasts for the 68 monthly time series of the M-competition. These are combined either with each other or with forecasts from deseasonalised single exponential smoothing. Combined forecasts are found to be more accurate than single forecasts with the greatest benefit realised at short forecast horizons and for easier (as opposed to harder) forecast series. Averaging was observed to be a far better way of combining judgemental forecasts than a judgemental, nonsystematic combination.

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Metadata

Authors
Lawrence, M. J., Edmundson, R. H., & O'Connor, M. J.
Venue
Management Science
Published
1986-12
Volume
32
Issue
12
Pages
1521-1532
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2022855030
Cited by
182
References
1
FWCI
12.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Accuracy of Combining Judgemental and Statistical Forecasts. https://app.cochat.ai/papers/10.1287/mnsc.32.12.1521
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Lawrence, M. J., Edmundson, R. H., & O'Connor, M. J. (1986). The Accuracy of Combining Judgemental and Statistical Forecasts. Management Science. https://doi.org/10.1287/mnsc.32.12.1521

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.