摘要
对进口铁矿中的砷量进行了总体统计分析,在数据统计分布特征研究基础上,使用内核密度估计对进口铁矿砷量进行数据多态性分析,使用boot-strap对原始数据样本值重复取样以获得稳健的砷量代表值估计及标准偏差,证明以bootstrap重新取样样本分布的均值与标准偏差作为有限单次样本代表值是合理、有效的。
Content characteristic of arsenic in iron ores imported was investigated by statistical techniques. Based on data distribution, a brand-new robust statistics, kernel density estimation, coupled with bootstrap resampling method was introduced to acquire the representative value of arsenic content in imported iron ores. It is dearly demonstrates that this method shows a prior advantage to give a robust descriptions in explanation for central tendency and variation of data profiles. A bootstrap mean and interval were provided, and further discussion was hold in detail.
出处
《分析试验室》
CAS
CSCD
北大核心
2007年第1期12-16,共5页
Chinese Journal of Analysis Laboratory
关键词
铁矿
砷
代表值
统计学描述
内核密度估计
BOOTSTRAP
Ion ore
Arsenic
Representative value
Statistical description
Kernel density estimation
Bootstrap
