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1. 山西出入境检验检疫局技术中心
2. 山西大学数学科学学院
Published:2013
移动端阅览
张敏爱, 李路亮, 张晓琴, et al. 基于核密度估计的实验室能力验证[J]. 2013, (5).
DOI:
张敏爱, 李路亮, 张晓琴, et al. 基于核密度估计的实验室能力验证[J]. 2013, (5). DOI:
在能力验证活动中
针对稳健统计方法造成分类不精确的问题
利用核密度估计函数设计了一种纵向分类的评价标准.该方法以实验室测得的原始数据
运用核函数估计数据所服从的密度函数
然后计算出各测量值对应的函数值
通过函数值的大小达到分类的效果.实验结果表明:该方法增加了测量结果的满意度
弥补了稳健统计方法只能对正态分布数据进行分类的不足
扩大了数据分类的范围.
In proficiency testing activities
to the problems of inaccurate classification caused by robust statistical methods
a vertical segment of the evaluation criteria is designed using kernel density estimation function. With the raw data measured in the laboratory
using kernel density function estimated the density function of the data obeyed
and then calculated the corresponding function value of the measured value
by the function value of the size
to achieve the effect of classification.The results show that this method increases the degree of satisfaction of the measurement results
makes up the lack of robust statistical method only to classify the normal data and expends the scope of data classification.
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