Abstract
This manuscript provides evidence that meaningful estimates of uncertainty can be obtained from laboratory-performance studies on condition that a log-linear relationship holds between concentration level and standard deviation of the measurement results. In such cases, the more expensive interlaboratory method-performance studies can be avoided. Some theoretical background is given and demonstrated with two examples. In particular, it is emphasized that variance functions are affected both by sampling and by analytical errors. An estimate of the proportion of the uncertainty due to sample heterogeneity in interlaboratory trials is provided by dint of Pierre Gy’s sampling theory. A stable ratio between ‘sampling’ and ‘analytical’ variance corresponds to a log-linear variance function and vice versa.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.