Abstract：
OBJECTIVE: The gross error of the assigned value-classical statistical method was developed that all participants in proficiency testing activities could obtain unbiased evaluation in case of a low number of participants(& lt; 17).
METHODS: This developed method was employed to evaluate the testing result of nitrite-N and lead in water from participants along the \"Belt and Road\", which was organized by CNCA in 2019.
RESULTS: Use the specified value gross error-classical statistical method to evaluate the feedback result of 29(15+14) participants with non-normal distribution, 4 out of 15 participants in \"Lead in Water\" get a \"unsatisfied\", 5 out of the 14 participants in \"Nitrite in Water(as Nitrogen)\"get a \"unsatisfactory\".
CONCLUSIONS: When the robust statistics and classical statistical method are unable to make objective evaluations respectively, this method could mildly remove outliers and avoid the extreme evaluation of \"all satisfied\"or \"all dissatisfied\", which truly reflected the real ability of each participant and could be applied to the proficiency testing activity with low number of participants.
METHODS: This developed method was employed to evaluate the testing result of nitrite-N and lead in water from participants along the \"Belt and Road\", which was organized by CNCA in 2019.
RESULTS: Use the specified value gross error-classical statistical method to evaluate the feedback result of 29(15+14) participants with non-normal distribution, 4 out of 15 participants in \"Lead in Water\" get a \"unsatisfied\", 5 out of the 14 participants in \"Nitrite in Water(as Nitrogen)\"get a \"unsatisfactory\".
CONCLUSIONS: When the robust statistics and classical statistical method are unable to make objective evaluations respectively, this method could mildly remove outliers and avoid the extreme evaluation of \"all satisfied\"or \"all dissatisfied\", which truly reflected the real ability of each participant and could be applied to the proficiency testing activity with low number of participants.
摘要：
目的：指定值经典统计方法的严重误差是指在参与者数量少的情况下，能力验证活动的所有参与者都可以获得无偏评估（<17）。
方法：该方法用于评估“一带一路”沿线参与者水中亚硝酸盐N和铅的检测结果，2019年由国家认监委组织。
结果：使用指定值的粗差-经典统计方法评估29（1514）个非正态分布参与者的反馈结果，“水中铅”15名参与者中有4名获得“不满意”，在“水中的亚硝酸盐（作为氮）”中的14名参与者中有5名获得“不满意”。
结论：当稳健统计和经典统计方法无法分别做出客观评价时，这种方法可以温和地去除异常值，避免“全部满意”或“全部不满意”的极端评价，真实反映了每个参与者的真实能力，可以应用于参与者数量少的能力测试活动。
方法：该方法用于评估“一带一路”沿线参与者水中亚硝酸盐N和铅的检测结果，2019年由国家认监委组织。
结果：使用指定值的粗差-经典统计方法评估29（1514）个非正态分布参与者的反馈结果，“水中铅”15名参与者中有4名获得“不满意”，在“水中的亚硝酸盐（作为氮）”中的14名参与者中有5名获得“不满意”。
结论：当稳健统计和经典统计方法无法分别做出客观评价时，这种方法可以温和地去除异常值，避免“全部满意”或“全部不满意”的极端评价，真实反映了每个参与者的真实能力，可以应用于参与者数量少的能力测试活动。
