摘要
在对矿产品水分含量基础统计学特征描述的基础上,采用内核密度估计对水分含量数据多态性进行了分析,根据双态分布的特点,使用Bootstrap模拟取样方法对试验样本值模拟重复取样,以多次Bootstrap模拟取样的均值与标准偏差作为矿产品水分含量有限样本代表值及标准偏差的稳健估计,实践证明Bootstrap模拟取样估计对矿产品水分含量代表值的估计是有效的,该项研究为矿产品水分含量代表值的准确评估提供了一种新方法。
Standing value of moisture content in minerals was investigated by Bootstrap resampling techniques. Based on data distribution, kernel density estimation, coupled with Bootstrap resampling method was introduced to acquire the standing value of moisture content in mineral ores. It was clearly demonstrated that this method had an advantage to give a robust description in explanation for central tendency and variation of data profiles. In addition, Bootstrap mean and interval were provided, and further discussion was held in details.
出处
《分析科学学报》
CAS
CSCD
2007年第4期475-477,共3页
Journal of Analytical Science
基金
山东出入境检验检疫局重点科研项目(No.SK05-2004)
