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Robust approaches for mean and variance outliers detection in Round Robin Tests
Technical Paper
2007-01-2063
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Large round robin tests are often performed by oil companies in order to evaluate the repeatability and reproducibility of the methods used to control the quality of their products. It is very important to identify the laboratories that present statistically non-coherent results (outliers) in order to avoid an unjustified overestimation of the results variability. These round robin tests may involve more than 30 laboratories with an associated risk of more than two laboratories considered as outliers. We had presented in our paper « The Limitations of the Cochran and Grubbs Outlier Tests in Round Robin Testing », the classical statistical tests of outliers detection (Cochran and Grubbs' tests) described in the ISO normative documents used to analyze the round robin tests, their inefficiency in the situations of masking effect (1) and some simple new algorithms derived from the Fisher and Student statistics which give interesting results. In this presentation, they are compared now with robust approaches and in particular, with Huber's test.
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Citation
Pestiaux, P. and Pic, C., "Robust approaches for mean and variance outliers detection in Round Robin Tests," SAE Technical Paper 2007-01-2063, 2007, https://doi.org/10.4271/2007-01-2063.Also In
References
- Pestiaux Pierre Pic Christine « The Limitations of the Cochran and Grubbs Outlier Tests in Round Robin Testing » proceedings of the 2004 SAE conference
- Hawkins D.M. « Identification of Outliers » Chapman and Hall 1980
- AFNOR NF ISO 5725 « Accuracy (trueness and precision) of measurement methods and results » 1994
- ISO/TR 22971:2005 Accuracy (trueness and precision) of measurement methods and results - Practical guidance for the use of ISO 5725-2:1994 in designing, implementing and statistically analysing interlaboratory repeatability and reproducibility results
- Del Cerro Corinne 1996
- Davies Laurie Gather Ursula « The identification of Multiple Outliers » Journal of the American Statistical Association 1993 782 801
- Lischer Peter « Robust Statistical Methods in Interlaboratory Analytical Studies» Robust Statistics, Data analysis and Computer Intensive Methods Riede H. 1995 251 265
- Mandel John « Structure and outliers in interlaboratory studies » Journal of Testing and Evaluation Sept. 1995 25 364 369
- Bonferroni, C. E. 1936
- Barnett Vic Lewis Toby « Outliers in Statistical Data » John Wiley & sons 1994
- 1978
- Davies Paul L. « Statistical Evaluation of Interlaboratory Tests » 1988 331 513 519
- Huber Peter J. « Robust statistics » Wiley 1981
- Hubert Mia « A practical guide to Chemometrics » Gemperline P. Marcel Dekker 2004
- Rocke David M. « Robust Statistical Analysis of Interlaboratory Studies » Biometrika 1983 70 421 483
- Veith Alan G. « A new approach to evaluating interlaboratory testing precision » Polymer Testing 1993 12 113 183