基于主成分分析的上市公司财务能力评价——以医药制造业为例

发布时间：2018-04-30 15:34

  本文选题：基于 + 成分　； 参考：《财会通讯》2013年02期

【摘要】：正一、引言主成分分析也称主分量分析,旨在利用降维的思想,通过对原始指标的相关矩阵内部结构关系的研究,找出影响某一状况的几个综合指标即主成分,使综合指标为原始指标的线性组合,综合指标不仅保留了原始指标的信息,彼此又不相关,使在研究复杂的问题时能够抓住主要矛盾,用较少的变量去解释原始指标的大部分变异。主成分分析法作为一种客观赋权法,在计算综合评价值时,
[Abstract]:First, the introduction of principal component analysis, also called principal component analysis (PCA), aims to find out several comprehensive indexes that affect a certain situation, namely, principal components, through the study of the internal structure relationship of the correlation matrix of the original index by using the idea of dimensionality reduction. Making the composite index a linear combination of the original index, which not only retains the information of the original index, but also is not related to each other, so that the principal contradiction can be grasped in the study of complex problems. Most variations in the original indicator are explained with fewer variables. As an objective weighting method, Principal component Analysis (PCA) is used to calculate the comprehensive evaluation value.
【作者单位】： 桂林电子科技大学;
【基金】：广西研究生教育创新计划资助项目(编号:2011105950202M41)的阶段性研究成果
【分类号】：F224;F426.72;F406.72
，

本文编号：1825123