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Year 2026, Volume: 22 Issue: 1 , 32 - 41 , 30.03.2026
https://doi.org/10.18466/cbayarfbe.1747154
https://izlik.org/JA38PP32LF

Abstract

References

  • [1]. ISO 13528:2022 – Statistical methods for proficiency testing by interlaboratory comparison
  • [2]. ISO/IEC 17043:2023 - Conformity assessment — General requirements for the competence of proficiency testing provider
  • [3]. ISO/IEC 17025:2017- General requirements for the competence of testing and calibration laboratories
  • [4]. ASTM E1301-95e1 - Standard Guide for Proficiency Testing by Interlaboratory Comparisons
  • [5]. ISO 6892-1:2019 - Metallic materials — Tensile testing
  • [6]. ILAC P9:01/2024 – ILAC Policy for Proficiency Testing and/or Interlaboratory comparisons other than Proficiency Testing
  • [7]. Rousseeuw, P. J., & Croux, C. (1993). Alternatives to the median absolute deviation. Journal of the American Statistical Association, 88(424), 1273–1283.
  • [8]. Huber, P. J. (1981). Robust Statistics. Wiley.
  • [9]. Thompson, M., Ellison, S. L. R., & Wood, R. (2006). The International Harmonized Protocol for the Proficiency Testing of Analytical Chemistry Laboratories. Pure and Applied Chemistry, 78(1), 145–196.
  • [10]. Kafadar, K. (2003). A Biweight Approach to Robust Estimation in Interlaboratory Studies. Technometrics, 45(4), 324–330.
  • [11]. Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust Statistics: Theory and Methods. Wiley.
  • [12]. Scott, D., & Thompson, M. (2005). Robust methods in interlaboratory studies. Accreditation and Quality Assurance, 10(9), 464–468.
  • [13]. Huberic, M. et al. (2020). Comparing the Effectiveness of Robust Statistical Estimators in Proficiency Testing. Metrology, 3(2), 10.

A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results

Year 2026, Volume: 22 Issue: 1 , 32 - 41 , 30.03.2026
https://doi.org/10.18466/cbayarfbe.1747154
https://izlik.org/JA38PP32LF

Abstract

The objective of this study is to evaluate and compare the z-scores calculated for mechanical parameters obtained from interlaboratory basis tests using five robust statistical methods defined in ISO 13528:2022[1]: normalized interquartile range (nIQR), median absolute deviation (MADe), Algorithm A, Q/Hampel, and Qn. These methods are assessed in terms of their ability to suppress outliers, their effect on score variance, and their discriminatory power between laboratories. By analyzing the strengths and limitations of each method across different parameter types (such as Rp0.2, Rm, A%, and modulus of elasticity), this study aims to demonstrate the critical role that robust statistical method selection plays in ensuring fair, consistent, and technically reliable evaluation of laboratory performance in proficiency testing schemes.

References

  • [1]. ISO 13528:2022 – Statistical methods for proficiency testing by interlaboratory comparison
  • [2]. ISO/IEC 17043:2023 - Conformity assessment — General requirements for the competence of proficiency testing provider
  • [3]. ISO/IEC 17025:2017- General requirements for the competence of testing and calibration laboratories
  • [4]. ASTM E1301-95e1 - Standard Guide for Proficiency Testing by Interlaboratory Comparisons
  • [5]. ISO 6892-1:2019 - Metallic materials — Tensile testing
  • [6]. ILAC P9:01/2024 – ILAC Policy for Proficiency Testing and/or Interlaboratory comparisons other than Proficiency Testing
  • [7]. Rousseeuw, P. J., & Croux, C. (1993). Alternatives to the median absolute deviation. Journal of the American Statistical Association, 88(424), 1273–1283.
  • [8]. Huber, P. J. (1981). Robust Statistics. Wiley.
  • [9]. Thompson, M., Ellison, S. L. R., & Wood, R. (2006). The International Harmonized Protocol for the Proficiency Testing of Analytical Chemistry Laboratories. Pure and Applied Chemistry, 78(1), 145–196.
  • [10]. Kafadar, K. (2003). A Biweight Approach to Robust Estimation in Interlaboratory Studies. Technometrics, 45(4), 324–330.
  • [11]. Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust Statistics: Theory and Methods. Wiley.
  • [12]. Scott, D., & Thompson, M. (2005). Robust methods in interlaboratory studies. Accreditation and Quality Assurance, 10(9), 464–468.
  • [13]. Huberic, M. et al. (2020). Comparing the Effectiveness of Robust Statistical Estimators in Proficiency Testing. Metrology, 3(2), 10.
There are 13 citations in total.

Details

Primary Language English
Subjects Manufacturing Safety and Quality
Journal Section Research Article
Authors

Kemal Kuş 0000-0001-8189-0196

Bülent Aydemir 0000-0001-6848-2681

Submission Date July 21, 2025
Acceptance Date October 31, 2025
Publication Date March 30, 2026
DOI https://doi.org/10.18466/cbayarfbe.1747154
IZ https://izlik.org/JA38PP32LF
Published in Issue Year 2026 Volume: 22 Issue: 1

Cite

APA Kuş, K., & Aydemir, B. (2026). A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results. Celal Bayar University Journal of Science, 22(1), 32-41. https://doi.org/10.18466/cbayarfbe.1747154
AMA 1.Kuş K, Aydemir B. A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results. CBUJOS. 2026;22(1):32-41. doi:10.18466/cbayarfbe.1747154
Chicago Kuş, Kemal, and Bülent Aydemir. 2026. “A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results”. Celal Bayar University Journal of Science 22 (1): 32-41. https://doi.org/10.18466/cbayarfbe.1747154.
EndNote Kuş K, Aydemir B (March 1, 2026) A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results. Celal Bayar University Journal of Science 22 1 32–41.
IEEE [1]K. Kuş and B. Aydemir, “A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results”, CBUJOS, vol. 22, no. 1, pp. 32–41, Mar. 2026, doi: 10.18466/cbayarfbe.1747154.
ISNAD Kuş, Kemal - Aydemir, Bülent. “A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results”. Celal Bayar University Journal of Science 22/1 (March 1, 2026): 32-41. https://doi.org/10.18466/cbayarfbe.1747154.
JAMA 1.Kuş K, Aydemir B. A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results. CBUJOS. 2026;22:32–41.
MLA Kuş, Kemal, and Bülent Aydemir. “A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results”. Celal Bayar University Journal of Science, vol. 22, no. 1, Mar. 2026, pp. 32-41, doi:10.18466/cbayarfbe.1747154.
Vancouver 1.Kemal Kuş, Bülent Aydemir. A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results. CBUJOS. 2026 Mar. 1;22(1):32-41. doi:10.18466/cbayarfbe.1747154