本页提供题录、可核实摘要与阅读线索。AI 解读未完成全文核验,可能有误;具体假设、证明和结论请核对原文。仅依据书目生成的内容属于阅读导航,不是对论文结论的确认。
摘要保留来源文本,未经模型改写。材料不足时保留待解读状态;引用采用 OpenAlex 单条关联记录,不合计版本,缺失不视为零,也不代表论文质量。
正在核对对应版本的资源…
Abstract In the last few decades many methods have become available for forecasting. As always, when alternatives exist, choices need to be made so that an appropriate forecasting method can be selected and used for the specific situation being considered. This paper reports the results of a forecasting competition that provides information to facilitate such choice. Seven experts in each of the 24 methods forecasted up to 1001 series for six up to eighteen time horizons. The results of the competition are presented in this paper whose purpose is to provide empirical evidence aboutdifferencesfound to exist among the various extrapolative (time series) methods used in the competition.