Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2026, Cilt: 22 Sayı: 1 , 32 - 41 , 30.03.2026
https://doi.org/10.18466/cbayarfbe.1747154
https://izlik.org/JA38PP32LF

Öz

Kaynakça

  • [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

Yıl 2026, Cilt: 22 Sayı: 1 , 32 - 41 , 30.03.2026
https://doi.org/10.18466/cbayarfbe.1747154
https://izlik.org/JA38PP32LF

Öz

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.

Kaynakça

  • [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.
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İmalat Güvenliği ve Kalite
Bölüm Araştırma Makalesi
Yazarlar

Kemal Kuş 0000-0001-8189-0196

Bülent Aydemir 0000-0001-6848-2681

Gönderilme Tarihi 21 Temmuz 2025
Kabul Tarihi 31 Ekim 2025
Yayımlanma Tarihi 30 Mart 2026
DOI https://doi.org/10.18466/cbayarfbe.1747154
IZ https://izlik.org/JA38PP32LF
Yayımlandığı Sayı Yıl 2026 Cilt: 22 Sayı: 1

Kaynak Göster

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. Celal Bayar University Journal of Science. 2026;22(1):32-41. doi:10.18466/cbayarfbe.1747154
Chicago Kuş, Kemal, ve 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 (01 Mart 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 ve B. 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, c. 22, sy 1, ss. 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 (01 Mart 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. Celal Bayar University Journal of Science. 2026;22:32–41.
MLA Kuş, Kemal, ve 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, c. 22, sy 1, Mart 2026, ss. 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. Celal Bayar University Journal of Science. 01 Mart 2026;22(1):32-41. doi:10.18466/cbayarfbe.1747154