摘要
对我国进口铁矿石中的环境有害元素As、Cr、Cd、Pb、S的含量进行了总体统计分析,选用了四分位稳健统计分析及内核密度估计分别对铁矿中的有害元素As、Cr、Cd、Pb、S的含量的代表值进行估计,探讨了两种方法在代表值估计方面的特点,并使用主成分分析、因子分析等多元统计分析方法对有害元素的含量特征进行整体分类描述,确定了含量特征整体分类的主要有害元素,全面了解进口铁矿中涉及安全、环保等有害元素的质量状况。
Content characteristics of five kinds of detrimental elements, As, Cr, Cd, Pb, S, in iron ores imported from 23 countries, totally 490 batches, within recent two years were investigated by statistical techniques. Based on data distribution, interquantile robust statistics, and a brand-new data description technique, kemel density estimation, were used to acquire the standing values of detrimental elements. Multivariate statistical methods, including Principle Component Analysis （PCA） and Factor Analysis （FA）, were used to explore the underlying characteristics of detrimental elements of imported iron ore, the main factors which detennined the characteristics of detrimental elements in all imported iron ore were investigated based on the scores of variables by Factor Analysis （FA）.
出处
《分析试验室》
CAS
CSCD
北大核心
2007年第6期58-61,共4页
Chinese Journal of Analysis Laboratory
关键词
铁矿
有害元素
统计学描述
内核密度估计
风险分析
主成分分析
因子分析
Ion ore
Detrimental element
Statistical description
Kemel density estimation
Risk assessment
Principal component analysis
Factor analysis
