季节变动系数预测法预测企业产量  

The forecast of enterprise output by seasonal variation coefficient forecast law

作　　者：关革强[1] 

机构地区：[1]广西工业职业技术学院,广西南宁530001

出　　处：《西南民族大学学报（自然科学版）》2011年第1期75-79,共5页Journal of Southwest Minzu University(Natural Science Edition)

摘　　要：季节变动系数预测法在企业产量的预测中具有较好的预测效果,它通过数据的滑动平均计算,修正季节比率,建立动态序列,利用回归方程的运算方法,建立回归方程,并利用F检验考察其显著性,以利于判别回归方程的实用价值.本文利用某企业连续五年的真实数据进行方法的应用,其效果良好。The seasonal variation coefficient forecast has a good forecast effect in the enterprise output forecast. By means of data running mean computation and revision season ratio, it establishes the dynamic sequence, by using regression equation operational method, establishes the regression equation, and inspects its significance. This article uses five-year real data of an enterprise to show that its effect is good.

关 键 词：季节变动 预测 检验 

分 类 号：O29[理学—应用数学]