Use of standards with matrix compositions and analyte concentrations resembling those of environmental samples enhances the reliability of analytical results [ 1– 7].
For reliability analysis, analytical equations have been derived.
The reliability of analytical procedures was checked using certified references materials: INCT-MPH-2 [24] and IAEA-V-10 [25].
For all four courses the comparative judgment method showed higher levels of reliability than analytical marking, but the comparative judgement scores and rankings were typically moderately to highly correlated with the scores from traditional analytical marking (Newhouse, 2011).
As regards the methods validation aspects, particularly in respect of emerging pollutants, there is concern about the reliability of analytical data, due to a lack of harmonisation in method validation and QA/QC requirements.
Moreover, regarding data quality and validation, in particular with respect to emerging pollutants, the lack of harmonisation in method validation and QA/QC requirements is a cause for concern over the reliability of analytical data.
To support finite element reliability applications, analytical response sensitivities are derived with respect to uncertain material properties, girder dimensions, reinforcing details, and moving loads by the direct differentiation method (DDM).
Methods based on molecular recognition mechanisms for the clean-up of veterinary drugs and their residues, such as immuno-, receptor- and acceptor-affinity and molecularly imprinted polymers (MIPs), have been described as selective tools to improve the selectivity and the reliability of analytical results.
Spatial data tend to exhibit characteristics that negatively impact the statistical properties of quantitative models, decreasing their reliability: spatial analytical models are designed to mitigate these negative effects.
We also excluded studies on the reliability of analytical techniques (eg, high-performance liquid chromatography and UV-visible spectrophotometry) and studies on interventions to improve the medication administration process or reduce medication errors.
