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主成分分析是一种实用的多元统计分析方法,能消除样本指标之间的相关性,在保持样本主要信息的前提下,提取少量具有代表性的主成分。通过对西部装备制造业七大行业19项反映竞争力的主要经济指标进行主成分分析,并对其分析结果进行汇总比较研究,找出西部具有比较优势的大行业。
The principal component analysis is a practical multivariate statistical analysis method, which can eliminate the correlation between the sample indexes and extract a few representative principal components under the premise of keeping the sample’s main information. Through the main component analysis of 19 major economic indicators reflecting the competitiveness of the seven major industries in the equipment manufacturing industry in western China, the author summarizes and compares the results of the analysis to find out the large industries with comparative advantages in the west.