摘要
采用直方图及拟合曲线统计、指数分布假设检验、非参数密度估计等统计方法研究了无机砷在不同产品中的富集规律。根据密度函数估计曲线和含量经验分布函数曲线可以预测任意浓度下无机砷的发生几率和累积概率。
Enrichment rule of inorganic arsenic in different products was studied by multivariate statistical technique of frequency histogram, parameter distribution test of hypotheses, non - parameter density estimate. By the function curves of density estimate and empirical distribution, the risk and cumulative probability of inorganic arsenic in any concentration can be predicted.
出处
《山东化工》
CAS
2014年第10期73-74,76,共3页
Shandong Chemical Industry
基金
山东出入境检验检疫局科研计划项目(SK201025)
关键词
无机砷
多元统计
富集规律
inorganic arsenic
multivariate statistical technique
enrichment rule