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dc.contributor.author王应明
dc.date.accessioned2017-11-14T01:08:14Z
dc.date.available2017-11-14T01:08:14Z
dc.date.issued2002-04-25
dc.identifier.citation预测,2002,(02):59-63
dc.identifier.issn1003-5192
dc.identifier.otherYUCE200202013
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/139534
dc.description.abstract本文对组合预测方法进行研究 ,提出了四种基于相关性的组合预测方法 ,即 :关联度极大化组合预测方法 ,相关系数极大化组合预测方法 ,夹角余弦极大化组合预测方法 ,Theil不等系数极小化组合预测方法。四种基于相关性的组合预测方法均能够取得比较好的组合预测效果。
dc.description.abstractThis paper studies the methodology of combining forecasts. Four new methods are proposed, which are maximum grey correlation degree method, maximum correlation coefficient and included angle cosine methods as well as minimum Theil coefficient method.All the methods can lead to satisfactory forecasting results.
dc.description.sponsorship霍英东教育基金会资助项目 (710 80 )
dc.language.isozh_CN
dc.subject组合预测
dc.subject灰关联度
dc.subject相关系数
dc.subject夹角余弦
dc.subjectTheil不等系数
dc.subjectcombining forecasts
dc.subjectgrey correlation degree
dc.subjectcorrelation coefficient
dc.subjectincluded angle cosine
dc.subjectTheil coefficient
dc.title基于相关性的组合预测方法研究
dc.title.alternativeResearch on the Methods of Combining Forecasts Based on Correlativity
dc.typeArticle


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