Dark uncertainty
2
LGC Ltd, Teddington, UK
|
Publication type: Journal Article
Publication date: 2011-07-12
scimago Q3
wos Q4
SJR: 0.240
CiteScore: 1.5
Impact factor: 1.0
ISSN: 09491775, 14320517
General Chemistry
General Chemical Engineering
Instrumentation
Safety, Risk, Reliability and Quality
Abstract
Standard uncertainties obtained by the GUM approach for a range of analytical methods are compared directly and indirectly with estimates of reproducibility standard deviation for the same methods. Results were obtained from both routine analysis and international key comparisons. A general tendency for the uncertainty to be substantially less than the reproducibility standard deviation was found.
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Metrics
108
Total citations:
108
Citations from 2024:
18
(16.67%)
Cite this
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BibTex |
MLA
Cite this
RIS
Copy
TY - JOUR
DO - 10.1007/s00769-011-0803-0
UR - https://doi.org/10.1007/s00769-011-0803-0
TI - Dark uncertainty
T2 - Accreditation and Quality Assurance
AU - Thompson, Michael
AU - Ellison, Stephen L R
PY - 2011
DA - 2011/07/12
PB - Springer Nature
SP - 483-487
IS - 10
VL - 16
SN - 0949-1775
SN - 1432-0517
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2011_Thompson,
author = {Michael Thompson and Stephen L R Ellison},
title = {Dark uncertainty},
journal = {Accreditation and Quality Assurance},
year = {2011},
volume = {16},
publisher = {Springer Nature},
month = {jul},
url = {https://doi.org/10.1007/s00769-011-0803-0},
number = {10},
pages = {483--487},
doi = {10.1007/s00769-011-0803-0}
}
Cite this
MLA
Copy
Thompson, Michael, and Stephen L R Ellison. “Dark uncertainty.” Accreditation and Quality Assurance, vol. 16, no. 10, Jul. 2011, pp. 483-487. https://doi.org/10.1007/s00769-011-0803-0.