NDLI: Proficiency Testing in Chemical Analysis of Iron Ore: Comparison of Statistical Methods for Outlier Rejection

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Proficiency Testing in Chemical Analysis of Iron Ore: Comparison of Statistical Methods for Outlier Rejection

Content Provider	Springer Nature Link
Author	Chakravarty, Sanchita Mohanty, Ashok Ghosh, Barun Tarafdar, Mita Aggarwal, Shankar G. Gupta, Prabhat K.
Copyright Year	2013
Abstract	Participation in proficiency testing (PT) is an important task to meet the requirements of ISO/IEC 17025 in the area of quality assurance of laboratory results. A PT program in the field of chemical analysis of iron ore was organized by CSIR-National Metallurgical Laboratory, Jamshedpur (nodal laboratory) and CSIR-National Physical Laboratory, New Delhi (PT Coordinator) during November 2011–January 2012. Twenty-two (22) laboratories in India participated in the PT program. The results of participating laboratories were first analyzed to identify the distribution patterns and the presence of outliers. Several parametric and robust statistical methods were used to identify the outliers. Correct outlier rejection is of utmost importance because the choice of the outlier test method influence the consensus value and standard deviation which in turn determine the Z-score of a laboratory result in a PT program. In the present study, five parametric outlier tests were compared: Dixon’s Q test, Grubbs single test, double test, t test, and Z-scores. In addition three robust tests as alternative to parametric tests were chosen: box plot, Huber test and MAD-based test. It was observed that multiple outlier test methods should be used to identify the outliers in a PT program especially when the number of participating laboratories is less. They complement each other and helps give diverse information and better overview of the data set. Among the 22 participating laboratories, Z-scores of 4 laboratories for analysis of total iron fall outside the acceptable limit of ±2. Similarly, for analysis of alumina and silica, five laboratories had unacceptable Z-scores.
Starting Page	87
Ending Page	95
Page Count	9
File Format	PDF
ISSN	09703950
Journal	MAPAN
Volume Number	29
Issue Number	2
e-ISSN	09749853
Language	English
Publisher	Springer India
Publisher Date	2013-09-08
Publisher Institution	Metrology Society of India
Publisher Place	India
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Proficiency testing Outliers Iron ore analysis Statistical methods Inter laboratory comparison Measurement Science and Instrumentation Theoretical, Mathematical and Computational Physics Mathematical Methods in Physics Numerical and Computational Physics
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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