A generalized outlier method with an automated test protocol applied to proficiency testing schemes: utilizing Monte Carlo simulation for generating critical values for the extended Grubbs statistic

Tomas Nilsson, Simon Langer Sigaard

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DOI: 10.1093/jaoacint/qsag036
Published: 2026-04-29
Container: Journal of AOAC International
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/jaoacint/qsag036,
  title = {A generalized outlier method with an automated test protocol applied to proficiency testing schemes: utilizing Monte Carlo simulation for generating critical values for the extended Grubbs statistic},
  author = {Tomas Nilsson and Simon Langer Sigaard},
  year = {2026},
  journal = {Journal of AOAC International},
  doi = {10.1093/jaoacint/qsag036},
  url = {https://doi.org/10.1093/jaoacint/qsag036}
}

RIS

TY  - JOUR
TI  - A generalized outlier method with an automated test protocol applied to proficiency testing schemes: utilizing Monte Carlo simulation for generating critical values for the extended Grubbs statistic
AU  - Tomas Nilsson
AU  - Simon Langer Sigaard
PY  - 2026
JO  - Journal of AOAC International
DO  - 10.1093/jaoacint/qsag036
UR  - https://doi.org/10.1093/jaoacint/qsag036
ER  -

APA

Nilsson, T., & Sigaard, S. L. (2026). A generalized outlier method with an automated test protocol applied to proficiency testing schemes: utilizing Monte Carlo simulation for generating critical values for the extended Grubbs statistic. Journal of AOAC International. https://doi.org/10.1093/jaoacint/qsag036

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crossref · retrieved 2026-09-25T18:41:54.008Z