文章基本信息

标题：An Alternative Approach to Reduce Dimensionality in Data Envelopment Analysis
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作者：Yap, Grace Lee Ching ; Ismail, Wan Rosmanira ; Isa, Zaidi 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2013
卷号：12
期号：1
页码：17
出版社：Wayne State University
摘要：Principal component analysis reduces dimensionality; however, uncorrelated components imply the existence of variables with weights of opposite signs. This complicates the application in data envelopment analysis. To overcome problems due to signs, a modification to the component axes is proposed and was verified using Monte Carlo simulations.
关键词：Data envelopment analysis; principal component analysis; redundancy analysis; Monte Carlo simulation