The accuracy of intermittent demand estimatesAris A Syntetos, John E. Boylan2004-11-12articleInternational Journal of Forecasting498 citationsgreenNo readable copy stored yet — this record is metadata only.Forecasting Techniques and ApplicationsSupply Chain and Inventory ManagementGrey System Theory ApplicationsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 498 citations exist upstream.References2000The M3-Competition: results, conclusions and implications1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1972Forecasting and Stock Control for Intermittent DemandsCited by2013A Survey of Forecast Error Measures2019Retail forecasting: Research and practice2015Supply chain forecasting: Theory, practice, their gap and the future2008Forecasting and operational research: a review2022Forecast evaluation for data scientists: common pitfalls and best practices2006Another Look at Forecast Accuracy Metrics for Intermittent Demand2011Intermittent demand: Linking forecasting to inventory obsolescence2013Intermittent demand forecasts with neural networks