分析仪器检出限的计算方法
对分析仪器检出限的计算方法等进行比较 包括对贝赛尔公式,极差法等
建立量化因果图的概念及方法,以CCQM P111 part b)为例进行分析和表述。研究发现,量化因果图可以在因果图定性分析基础上,进一步对主要影响因素的不确定度贡献分量表述,具有清晰、直观的特点。该方法可以应用在化学计量不确定度评定及类似领域。 Concept and method of Quantity-Reason-Result Figure were introduced with the example of CCQM P111 part b). It proved that the method can describe the amount of uncertainty for major factors in quantity on the baisis of Reason-Result Figure in quality. The method is simple and clear, which can be applied in estimation of uncertainty in Chemical uncertainty assessment and similar fields.
建立了基于极差法统计学原理对发射光谱仪检出限、重复性和稳定性进行快速判断的方法,不需要数据录入即可轻松实现对计量指标的判定,有利于提高计量测试的效率,对类似仪器的快速判断也有借鉴意义。 A method was established to assess quickly the detection limits, short term stability and long term stability without inputting data step by step. It is helpful to improve the efficiency of chemical metrology, and helpful to similar evaluation of other instruments.
建立了一种基于对能力验证数据进行聚类分析的方法,克服了以往采用稳健统计方法处理的层次性和深度不足的缺陷,可将参加实验室按测试结果及相似性进行分组,便于对检测过程存在问题的查找和分析,也有利于检测实验室对自身测试水平的认识和评价。
Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information retrieval
样品的前处理方法对于土壤中重金属含量的准确测定是一个重要的环节. 国外许多文献是基于对土壤样品的王 水消解方法, 如ISO方法11466和欧洲D IN 384142S7王水法, 该方法广泛地应用于土壤、沉积物和灰尘等复杂基体的 研究. 多采用混酸完全消解的方法, 如国家标准方法GB /T17140和GB /T17139等; 台湾环境监测所公布的土 壤消解方法(N IEA S321163B) 近似国外的王水消解法, 与美国环保局USEPA SW84623050酸溶方法也有些类似.