NDLI: Modelling uncertainty in a concentration range

Content Provider	Springer Nature Link
Author	Jiménez Chacón, J. Alvarez Prieto, M.
Copyright Year	2008
Abstract	Combined uncertainty modelling in a concentration range is an important task for laboratories. Despite several models and regression methods reported, unsolved problems remain, including variability and type of distribution of combined uncertainty estimations and the influence of these on modelling. Intralaboratory data of eight trace elements in natural waters by flame atomic absorption spectrometry and interlaboratory data from some ISO standards were used as an experimental basis. Starting from these and applying the bootstrap technique, high relative variability of combined uncertainty estimations (second-order uncertainty) was found, but normal distributions or distributions with small deviations from normality were encountered. Linear and/or variance models are appropriate for modelling the analyzed data when ordinary weighted least-squares or repeat median robust regression methods are applied. The influences of combined uncertainty variability on modelling and the effect of points that do not follow the general trend of the remaining points are discussed. Some other guidelines are offered.
Starting Page	15
Ending Page	27
Page Count	13
File Format	PDF
ISSN	09491775
Journal	Accreditation and Quality Assurance
Volume Number	14
Issue Number	1
e-ISSN	14320517
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-08-23
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Uncertainty modelling Standard deviation modelling Second-order uncertainty Linear and variance models Ordinary, weighted, and robust regression methods 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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