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形体老化与疾病的非线性主成分分析
引用本文:孙尚拱. 形体老化与疾病的非线性主成分分析[J]. 数理统计与管理, 2002, 21(4): 51-55
作者姓名:孙尚拱
作者单位:北京大学,公共卫生学院,北京,100083
摘    要:本文把 5个形体老化指标及 13种慢性病指标分别做成两个综合指标 ,再去研究人体老化、疾病与性别及年龄的关系。文中使用非线性主成分法及指出一般线性主成分法的局限性

关 键 词:主成分分析  非线性主成分法  综合指标  形体老化  疾病
文章编号:1002-1566(2002)04-0051-05

The relationships between signs of aging,diseases,gender and age
SUN Shang Gong. The relationships between signs of aging,diseases,gender and age[J]. Application of Statistics and Management, 2002, 21(4): 51-55
Authors:SUN Shang Gong
Abstract:Two synthetic indices are constructed by Non Linear Principal Component Analysis for 5 signs of aging and 13 diseases respectively. The relationships between two synthetic indices?gender and age are showed quantitatively. The results show that there are not any correlation between the signs of aging and diseases, but difference of gender on signs of aging is significant, some differences on gender and age are very interested.
Keywords:Non Linear principal component analysis  signs of aging  diseases  synthetic indices
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