摘要
本文对国内外流行的对应分析法的不足,在尽可能多地保留变量信息的原则下,提出了改进的对应分析优化模型,论证了R型的因子分析模型L的因子双重信息图是对应分析优化模型的解,并结合应用实例给出了该模型的应用步骤。
To overcome some potential drawbacks associated with the popular correspondence analysis, in this paper, we propose an improved correspondence analysis optimization model while retaining variable information as far as possible. We demonstrate that the factor blplots of the Type-R factor analysis model L is the solution to the correspondence analysis optimization model in the sense of some kind of optimality. A real application is presented to illustrate the proposed methods.
出处
《数理统计与管理》
CSSCI
北大核心
2018年第2期243-254,共12页
Journal of Applied Statistics and Management
关键词
对应分析改进
因子分析
因子双重信息图
improved correspondence analysis, factor analysis, factor blpiots