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用标准样品的均匀性研究估计最小取样量
引用本文:徐建平,胡晓燕,薛楠.用标准样品的均匀性研究估计最小取样量[J].冶金标准化与质量,2012,50(2):25-27.
作者姓名:徐建平  胡晓燕  薛楠
作者单位:1. 武汉科技大学 湖北武汉430081
2. 钢铁研究总院 北京100081
3. 冶金信息标准研究院 北京100730
摘    要:根据均匀性研究和定值分析的统计参数,提出了一个用于估计最小取样量的公式:Mm=Mk(Ssk/FαSchar^2).本方法可以避免为最小取样量的估计另外设计试验,既避免了大量的财力物力消耗,又改变了直接用均匀性检验的称样量做最小称样量的不合理性。

关 键 词:最小称样量  标准样品均匀性  统计估计

Estimation for minimum count of sampling based researching the uniformity of RM
Xu Jianping , Hu Xiaoyan , Xue Nan.Estimation for minimum count of sampling based researching the uniformity of RM[J].Metallurgical Standardization & Quality,2012,50(2):25-27.
Authors:Xu Jianping  Hu Xiaoyan  Xue Nan
Affiliation:1.Wuhan University of Science and Technology, Wuhan 43008 1, China; 2.Center Iron and Steel Research Institute, Beijing 100081, China; 3.China Metallurgical Information and Standardization Institute, Beijing 100730, China )
Abstract:Based on uniformity research and statistical analysis of fixed value, a formula for estimating the minimum count of sampling is proposed as Mm=Mk(Ssk/FαSchar^2) In this way it could avoid launching additional experience with purpose of estimating rain count of sampling, which saves lots of expenditure as well as avoids using the sampling count of uniformity test as the rain sampling, which is in fact unreasonable.
Keywords:ferroalloy  min count of sampling  uniformity of RM  statistical estimation
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