Abstract：Proficiency testing is an action to evaluate the ability of participants according to the pre-specified criterions based on the inter-laboratory comparison. Quartile and iteration are two robust statistical analysis methods dealing with the data of proficiency testing, which can be used to calculate the target standard deviation and evaluate whether the laboratory data are qualified. The calculation results of two robust statistical methods were compared by analyzing the multi-data sources of proficiency testing. The analysis results showed that the inter-laboratory detection ability exhibited significant difference and the data of proficiency testing distributed dispersedly when the ratio of normalization interquartile range of laboratory data to the reproducibility standard deviation (H value) based on empirical model was larger than 2 or the robust coefficient of variation (CV) was larger than 0.05. At this time, the number of iterative calculation was more than 1 and the ratio of normalization interquartile range to robust standard deviation was larger than 1. In other words, the quartile method broadened the evaluation standard of proficiency testing.
毛燕. 四分位法和迭代法对数据分散的能力验证检测数据统计分析结果的比较[J]. 冶金分析, 2016, 36(5): 76-81.
MAO Yan. Statistical analysis results comparison of quartile and iteration used in proficiency testing for data dispersion inspection. , 2016, 36(5): 76-81.
孙海容,李玉武.用经验模型判断能力验证统计分析结果的合理性[J].岩矿测试,2012,31(6): 992-996.SUN Hai-rong,LI Yu-wu.Evaluation of the statistic parameter of rationality in proficiency testing by the empirical model[J].Rock and Mineral Analysis,2012,31(6): 992-996.
Horwitz W. Evaluation of analytical methods used for regulation of foods and drugs[J].Analytical Chemistry, 1982,54: 67A-76A.
[5]
Massart D L,Verbeke J S,Heyden Y V.Benchmarking for analytical methods: The horwitz curve[J].LC-GC Europe, 2005,18(10): 1-4.
[6]
李玉武,狄一安,孙海容,等.用经验模型评估环境样品测量不确定度[J].中国无机分析化学, 2012, 2(1):1-8.LI Yu-wu,DI Yi-an,SUN Hai-rong,et al.Evaluation of measurement uncertainty for environmental sample by empirical model [J]. Chinese Journal of Inorganic Analytical Chemistry,2012,2(1):1-8.
[7]
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比较及结果合理性判断[J].冶金分析, 2014, 34(5): 1-9.LI Yu-wu,SUN Pei-qin,SUN Hai-rong.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.
[8]
佟艳春.拉伸试验能力验证结果的稳健统计指定值及其不确定度[J].理化检验:物理分册,2010,46(2): 79-83.TONG Yan-chun.Robust statistical assigned value and its uncertainty of proficiency testing results of tensile tests [J].Physical Testing and Chemical Analysis Part A:Physical Testing,2010, 46(2):79-83.
[9]
狄一安,孙海容,孙培琴.用质控图和稳健统计-迭代法评估环境检测实验室测量不确定度[J].岩矿测试, 2014, 33(1): 57-66.DI Yi-an,SUN Hai-rong,SUN Pei-qin. Evaluation of measurement uncertainty in an environmental test laboratory by quality assurance, control charting and robust statistic[J]. Rock and Mineral Analysis, 2014,33(1):57-66.
[10]
杨冬雪,李翠萍,李花.用稳健统计-迭代法评估水质自动监测测量不确定度[J].福建分析测试,2015,24(2): 22-26.YANG Dong-xue,LI Cui-ping,LI Hua.Evaluating uncertainty of water quality automatic monitoring by robust statistics-iterative[J].Fujian Analysis&Testing,2015,24(2):22-26.
