A Comparative Analysis of Robust Statistical Methods by ISO 13528 for the Evaluation of Tensile Proficiency Testing Results
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.
Anahtar Kelimeler
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.
Ayrıntılar
Birincil Dil
İngilizce
Konular
İmalat Güvenliği ve Kalite
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Mart 2026
Gönderilme Tarihi
21 Temmuz 2025
Kabul Tarihi
31 Ekim 2025
Yayımlandığı Sayı
Yıl 2026 Cilt: 22 Sayı: 1