Abstract：Scientific statistics methods have been used in analysis of measured results submitted by proficiency testing participants for reasonable evaluation. The robust statistics methods that are resistant to outliers are generally preferred. The computation results of two robust statistics methods, iteration algorithm A and Q/Hampel, are compared based on computation examples of actual test data. The computation results show that the mean of robust statistics methods are basically consistent, while there is difference in the robust standard deviation between iteration algorithm A and Q/Hampel, then the judgement to laboratory testing ability is consistent. When it comes to minor modes, the ratio of the robust mean of iteration algorithm A to the robust mean of Q/Hampel is 1.03, while the ratio of robust standard deviation between these two methods is 2.32, which means Q/Hampel method shows better robust reliability for the resistance to minor modes.
关宁昕. 迭代算法A与Q/Hampel方法在能力验证结果分析中的比较[J]. 冶金分析, 2022, 42(1): 90-94.
GUAN Ningxin. Comparison of iteration algorithm A and Q/Hampel method used in result analysis of proficiency testing. , 2022, 42(1): 90-94.
[1] 中国合格实验室评定委员会. CNAS—GL032:2018能力验证的选择核查与利用指南[S].北京:中国质检出版社,2018. [2] 国家市场监督管理总局,国家标准化管理委员会.GB/T 28043—2019/ISO 13528:2015利用实验室间比对进行能力验证的统计方法[S].北京:中国标准出版社,2019. [3] 李玉武,孙培琴,孙海容.能力验证检测数据的两种稳健统计分析方法[J].冶金分析,2014,34(5):1-9. LI Yuwu,SUN Peiqin,SUN Hairong.Comparison of two robust statistic methods used in inspection data of proficiency testing and evaluation of its results rationality[J].Metallurgical Analysis,2014,34(5):1-9. [4] 丘晖饶.两种稳健统计法在石油产品能力验证结果分析中的比较[J].理化检验(化学分册),2018,54(10):1202-1206. QIU Huirao.Comparison of two robust statistic method used in result analysis of oil products proficiency testing[J].Physical Testing and Chemical Analysis(Part B:Chemical Analysis),2018,54(10):1202-1206. [5] International Organization for Standardization.ISO 13528: 2015 Statistical methods for use in proficiency testing by interlaboratory comparison[S].Switzerland:ISO Copyright Office,2015. [6] 张帆,刘胜楠,王海涛,等.能力验证中的稳健统计方法应用浅析[J].标准科学,2018(2):61-64. ZHANG Fan,LIU Shengnan,WANG Haitao,et al.Application of robust statistical methods in proficiency testing[J].Standard Science,2018(2):61-64. [7] 中国合格实验室评定委员会.CNAS—GL002:2018能力验证结果的统计处理和能力评定指南[S].北京:中国质检出版社,2018. [8] 曹宏燕.分析测试统计方法和质量控制[M].北京:化学工业出版社,2016. [9] Filho B A R,Farias R F,Anjos W E D.Evaluating the performance of laboratories testing sphygmomanometers in legal metrology due to proficiency testing[J].Mapan,2020,35(3):447-456. [10] Singh G,Velasquez L,Huet A C,et al.Development of a sensitive polyclonal antibody-based competitive indirect ELISA for determination of citrinin in grain-based foods[J].Food Additives & Contaminants,2019,36(10):1567-1573. [11] QuoData Quality & Statistics.PROLabTM.https://quodata.de/en/software.html. [12] Analytical Methods Committee.Robust statistics:A method of coping with outliers[R].London:Royal Society of Chemistry,2001.
