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Forecasting performance in terms of bias for the 2,045 monthly series of the M and M3 competitions.

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Figshare2019-10-03 更新2026-04-29 收录
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The results are averaged across all series, both per aggregation level and across all levels. Additive (ADD), multiplicative (MUL) or none bias adjustments were considered. Results are also reported when temporal hierarchical forecasting is applied selectively to avoid seasonal shrinkage.

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2019-10-03
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