On the effectiveness of top‐down strategy for forecasting autoregressive demands

DOI10.1002/nav.20200zbMath1126.62088OpenAlexW2086332765MaRDI QIDQ5436479

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Publication date: 16 January 2008

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nav.20200

zbMATH Keywords

autoregressive time seriesexponential smoothingdemand forecastingbottom-up forecastingtop-down forecasting

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Consumer behavior, demand theory (91B42)

Related Items (3)

Model selection in reconciling hierarchical time series ⋮ Supply chain forecasting: theory, practice, their gap and the future ⋮ Integrated hierarchical forecasting

Cites Work

• Time-Series Forecasting

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