稳健统计与格拉布斯准则在能力验证结果分析中的应用

doi:10.3969/j.issn.1000-1158.2018.06.21

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Abstract The data of the 6 groups of hot rolled ribbed bar were analyzed respectively using robust statistics of four quantile, robust statistics with iterative method, classical statistical method . The results show that the data of Z in the data set is larger than 5, which is outlier, The data are subject to or close to the normal distribution, the results of the three statistical methods are basically consistent;if there is no outlier data, it is recommended to use robust statistical method (four quantile method or iterative method) for statistical analysis; If there is outlier data, the Grubbs criterion should be used to eliminate the outliers and the classical statistical method should be used for statistics; The data significantly deviate from the normal distribution, if there is no outlier data, it is recommended to use iterative method for statistical analysis; If there is outlier data, the Grubbs criterion should be used to eliminate the outliers and the classical statistical method should be used for statistics.

Key words： metrology proficiency testing robust statistics grubbs criterion normal distribution hot rolled ribbed bars

Received: 13 November 2017 Published: 06 November 2018

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	Articles by authors
	YANG Jin-yan
	JIANG Zeng-jie
	CHEN Wei

Cite this article:

YANG Jin-yan,JIANG Zeng-jie,CHEN Wei. Application of Robust Statistics and Grubbs Criterion in Proficiency Testing Results Analysis[J]. Acta Metrologica Sinica, 2018, 39(6): 862-867.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2018.06.21 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2018/V39/I6/862

［1］中国合格实验室评定委员会.CNAS-GL02—2014 能力验证结果的统计处理和能力评价指南［S］.2014.
［2］杨金艳,陈建豪.热轧带肋钢筋拉伸试验能力验证结果稳健统计技术［J］. 金属制品,2015,29(7): 28-32.
Yang J Y, Chen J H. Validation of tensile test capacity of hot-rolled ribbed bars and robust statistical techniques［J］. Metal Products, 2015,29 (7): 28-32.
［3］符颖操,罗茜.实验室间比对结果分析统计方法的探讨［J］.理化检验:物理分册,2006,42(6):295-299.
Fu Y C, Luo Q. Discussion on Statistical Methods for Analysis of Interlaboratory Comparison Results［J］. Physical Testing and Chemical Analysis(Part A:Physical Testing), 2006,42(6): 295-299.
［4］范志杰.海洋环境监测设计理论的探讨［J］.海洋环境科学,1995,(3):1-107.
Fan Z J. Discussion on design theory of marine environmental monitoring ［J］. Marine Environmental Science, 1995, (3): 1-107.

［5］李玉武,孙培琴.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 Y W, Sun P Q. Comparison of two robust statistical analysis methods for proficiency testing data and rationality of the results ［J］. Metallurgical Analysis, 2014,34 (5): 1-9.
［6］王晓娟,黄首先.四分位数及迭代稳健统计法在实验室能力验证中的应用［S］.现代测量与实验室管理,2016,（3）:42-58.
Wang X J, Huang S X. Application of four quantile and iterative robust statistics in laboratory proficiency testing［J］. Advanced Measurement and Laboratory Management, 2016, (3): 42-58.
［7］李君,宋金明.稳健统计和Grubbs检验法在实验室间能力验证结果分析中的应用——以海洋生物体中总汞测定结果为例［S］.海洋科学,2014,38（2）:29-32.
Li J, Song J M. Application of robust statistics and Grubbs test in the analysis of inter-laboratory capability test results-taking the determination of total mercury in marine organisms as an example［J］. Marine science, 2014,38 (2): 29-32.
［8］狄一安,孙海容,李玉武.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 Y A, Sun H R, Li Y W. Quality control chart and robust statistics iteration method to evaluate uncertainty in environmental testing laboratory ［J］.Rock and Mineral Analysis, 2014, 33 (1): 57-66.