Abstract
The applicability of single‐point calibration is usually decided by testing the hypothesis of zero intercept. It is flawed, first, because the zero intercept does not infer that it is true, and second, accepting a zero intercept does not imply a low bias in the estimated concentration of the unknown sample. Instead, a method is proposed based on the two one‐sided tests (interval hypothesis) for the bias. The test is performed by comparing a confidence interval for the bias to an allowable limit, defined in concentration units. Fieller's theorem was used for the ratio of two normally distributed random variables to construct the confidence interval for the bias. The proposed method is appropriate for judging the extent of bias in case of single‐point calibration. Copyright © 2012 John Wiley & Sons, Ltd.
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.
