Version 1
: Received: 23 November 2022 / Approved: 24 November 2022 / Online: 24 November 2022 (14:33:00 CET)
How to cite:
Uhlig, S.; Colson, B.; Gowik, P. A Procedure for Estimating Fundamental Variability. Preprints2022, 2022110460. https://doi.org/10.20944/preprints202211.0460.v1
Uhlig, S.; Colson, B.; Gowik, P. A Procedure for Estimating Fundamental Variability. Preprints 2022, 2022110460. https://doi.org/10.20944/preprints202211.0460.v1
Uhlig, S.; Colson, B.; Gowik, P. A Procedure for Estimating Fundamental Variability. Preprints2022, 2022110460. https://doi.org/10.20944/preprints202211.0460.v1
APA Style
Uhlig, S., Colson, B., & Gowik, P. (2022). A Procedure for Estimating Fundamental Variability. Preprints. https://doi.org/10.20944/preprints202211.0460.v1
Chicago/Turabian Style
Uhlig, S., Bertrand Colson and Petra Gowik. 2022 "A Procedure for Estimating Fundamental Variability" Preprints. https://doi.org/10.20944/preprints202211.0460.v1
Abstract
The question whether a given set of test items can be considered “identical” is often addressed in terms of the homogeneity of the test material from which said items were taken. However, for some types of matrices – in particular, for matrices consisting of minute separate particles, only some of which carry the analyte under consideration – even in the case of homogenous test material, an irreducible source of variability between test items may remain: the fundamental variability. In this paper, the concept of fundamental variability is explained, and procedures for reducing and characterizing it are described.
Keywords
Fundamental variability; homogeneity; variance; method validation; proficiency testing; measurement uncertainty
Subject
Chemistry and Materials Science, Analytical Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
