We analyzed the data by applying analysis of variance ( av ) , multiple stepwise regression analysis ( msra ) , canonical correlation analysis ( cca ) and so on . additionally , new developing statistical method , linear structural relations ( l1srel ) , was employed to throw light on the substantial acting mechanism 应用传统的(协)方差分析、多元逐步回归分析、主成分回归分析、岭回归分析、判别分析和典型相关分析等统计方法对影响学习成绩的因素进行分析，并采用新近发展的线性结构方程模型( linearstructuralrelations ， lisrel )分析影响学习成绩的? ?各个因素并探讨其影响机制。
Based on the distinction of monetary effect and efficiency and taken the monthly data of 1999 . 12 - 2006 . 6 as sample , this paper studies the relations of integrated variables with the method of canonical correlation analysis , empirically tests the combined transmission efficiency of monetary policy based on multicomponent reaction models , and finally it indicates that , in the sample range , monetary operation tools married up better , the holistic transmission efficiency is relatively high , while there exists efficiency derogation in external transmission system , but also a big space of promotion 摘要在区分货币政策效果和效率的基础上，本文以1999年12月2006年6月的数据为样本，借助典型相关分析，对货币政策传导中同属性变量进行整组压缩，研究整组变量间的关系，并结合交互影响的多元反馈模型，对我国货币政策传导的综合效率进行了检验，得出结论：样本区间内，货币政策工具实现了良好的配合，整体传导效率高，外部传导存在着效率减损，但有很大提升空间。
The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data ( also named as compositional data or data of constant sum ) it is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by " closure " and the statistical distribution of the data is not normal because of its constant row sum , which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis , factor analysis , cluster analysis and canonical correlation analysis 摘要长期以来，对于多维基因多态性数据的多元统计分析，如计算遗传距离时所用的聚类分析、分析群体遗传结构时所用的主成分分析、因子分析和典型相关分析等，一直应用为无约束条件数据而设计的经典多元线性分析方法，并没有注意基因多态性数据的“闭合效应”所带来的问题。
