Abstract
A data set consisting of the analyses of about 700 geochemical materials for 25 elements, duplicated within-batch, has been investigated in respect of the relationship between the standard deviation of the determination and the concentration of the analytes. The data were fitted to three models of this relationship. A simple linear model with a positive intercept was found to be a good fit with nearly all of the analytes when fitted by weighted regression, but not by simple regression. A more complex relationship based on the addition of variances was found to be equally good. A suggested relationship based on a linear fit between the logarithms of the standard deviation and concentration was less satisfactory statistically, and also raised some theoretical difficulties. The choice of an appropriate model is important both from the scientific viewpoint and for data quality control purposes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
