| 应用稳健马氏距离评价实验室间比对能力考核 |
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| 引用本文： | 师耀龙,滕曼,李成,吴晓凤,柴文轩,杨婧,楚宝临,付强.应用稳健马氏距离评价实验室间比对能力考核[J].中国环境监测,2017,33(2):127-131. |
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| 作者姓名： | 师耀龙 滕曼 李成 吴晓凤 柴文轩 杨婧 楚宝临 付强 |
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| 作者单位： | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,河北农业大学科学技术研究院, 河北 保定 071001,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 |
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| 基金项目： | 国家环保公益性行业科研专项"国家环境监测网环境空气自动监测（PM2.5、O3）质量保证与质量控制技术体系研究与示范"（201409011） |
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| 摘 要： | 基于稳健马氏距离的多元统计算法,综合评价了全国环境监测系统96个实验室4种有机氯农药监测能力考核的结果,从中筛选出25个考核结果存在异常的实验室。将多元统计结果与稳健Z比分数结果进行比较,发现基于稳健马氏距离筛选出的异常实验室其稳健Z比分数结果也存在一定的问题。同时简单介绍了稳健马氏距离及其相关的异常值筛选的算法原理,并详细介绍了其基于R语言的实现过程。
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| 关 键 词： | 多元稳健统计 稳健马氏距离 实验室间比对 能力考核 |
| 收稿时间： | 2016/3/22 0:00:00 |
| 修稿时间： | 2016/5/5 0:00:00 |
The Application of Robust Mahalanobis Distance in Proficiency Testing by Interlaboratory Comparisions |
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| SHI Yaolong,TENG Man,LI Cheng,WU Xiaofeng,CHAI Wenxuan,YANG Jing,CHU Baolin and FU Qiang.The Application of Robust Mahalanobis Distance in Proficiency Testing by Interlaboratory Comparisions[J].Environmental Monitoring in China,2017,33(2):127-131. |
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| Authors: | SHI Yaolong TENG Man LI Cheng WU Xiaofeng CHAI Wenxuan YANG Jing CHU Baolin and FU Qiang |
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| Institution: | State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,Institute of Science and Technology, Agricultural University of Hebei, Baoding 071001, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China and State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China |
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| Abstract: | The result of proficiency testing of 4 organo-chlorine pesticide species among 96 enviromental monitoring labs was evaluated by the robust mahalanobis, and 25 labs were identified as outliers by this multi-statistics method. By the comparision between robust mahalanobis distance and Z-score, the outliers identified by robust mahalanobis distance were also indentified as outliers by Z-score. In addition, the fundamental and R implementation of outliers detection by robust mahalanobis distance were described in this article. |
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| Keywords: | robust multi-statistics robust Mahalanobis distance interlaboratory comparisions proficiency testing |
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