NDLI: The impact of sampling on variance functions in analytical chemistry and microbiology

Content Provider	Springer Nature Link
Author	Lischer, Peter
Copyright Year	2010
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.
Starting Page	603
Ending Page	611
Page Count	9
File Format	PDF
ISSN	09491775
Journal	Accreditation and Quality Assurance
Volume Number	15
Issue Number	11
e-ISSN	14320517
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-09-30
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Pierre Gy’s sampling theory Log-linear variance function Generalized Horwitz ratio Quantifying uncertainty Qualifying laboratories Marketing Ecotoxicology Biochemistry Analytical Chemistry Commercial Law Food Science
Content Type	Text
Resource Type	Article
Subject	Chemistry Instrumentation Chemical Engineering Safety, Risk, Reliability and Quality

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