摘要
大学生学习成绩预测是非常有必要的。文章首先介绍了用最小二乘法进行线性回归预测的方法，并分析了其缺点，即当存在着极端的异常情况时，往往存在着较大的预测误差。其次文章介绍了另一种建立预测方程的方法——目标规划法，并详细分析了模型的建立过程。文章最后举了一实例，将两种方法进行了比较，结果证明，当存在着异常情况时，目标规划是一种较好的预测方法。
It is very necessary to forecast academic record.In first the linear regnession model resulted from least square method is presented and its disadvantege is analysed,greated forecasting error exists when extreme abnormal case exists.In second,the other method of establishing forecasting equation——goad programming is presented and its mathematical model is established.In final,an example is illustrated,and two methods are compared.The conclusion demonstrates that goal programming is better method than lineav regression when extreme abnormal case exisfs.
出处
《数理统计与管理》
CSSCI
北大核心
1997年第2期14-17,共4页
Journal of Applied Statistics and Management
关键词
预测
数学模型
目标规划
大学生
学习成绩
forecast
forecasting error
least square method
god programing
mathematical model
