Impacts of characteristics on uncertainty.
|Characteristics||Impacts on uncertainty|
|Specificity/selectivity||Effects related to the selectivity and specificity are overall measured when the evaluation of the uncertainty component associated with accuracy.|
|Precision||These variances are among the most significant elements for the assessment of uncertainty.|
|Linearity, sensitivity||1st case: If the statistical test shows that the model is linear, no effect on the uncertainty.
2nd case: If the test shows that the model is not linear, then we may either reduce the measurement field or add a component (of non-linearity) in the evaluation of uncertainty. This component can be the maximum deviation to the model.
|Limit of detection||This feature does no effect on the uncertainty assessment; it serves to define the field of use of the method.|
|Robustness||For a factor whose change scope is limited to ∓a, then the corresponding uncertainty is: , where c is the sensitivity coefficient of the response due to variations of the factor a.|
|Accuracy||In chemical analysis, it is not applied corrections of accuracy. The goal during the development of the method is to check that there is no significant systematic error.
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