检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:侯文[1]
出 处:《数理统计与管理》2006年第2期211-214,共4页Journal of Applied Statistics and Management
摘 要:本文针对用主成分法进行综合评价时存在的缺点,提出了分组主成分评价法。即先用因子分析法对变量进行分组后,然后再分别对各组变量进行主成分评价,既保证了主成分法的优点,也克服它在评价中的缺点,提高综合评价结果的合理性。并用该方法对实例进行了分析,取得了较好的效果。Aiming at the shortcoming that obtained from comprehensive evaluation by principal component analysis, this paper points out the method of grouping principal component evaluation. Namely, the varialle Will be divided into groups by factor analysis first, then going along principal component evaluation to the variable of each group separately. Thus it can keep the virtue of principal component analysis and conquer the defects which are obtained from eval- uation. So that it can improve the rationality of comprehensive evaluation result. And besides,it analyses an example with the method and gets better effects.
分 类 号:O212[理学—概率论与数理统计]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222