The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
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“However, inconsistencies between the supplements and the main GUM text have been pointed out repeatedly.28,[36][37][38]”
From Uncertainty in Measurement and Total Error (2017) · cites this paper as [37]
Citations
Cites
GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT
Standard, S. (2006) · Cited by 6,460
Bayesian Statistics: An Introduction
Ziegel, E. R., & Lee, P. M. (1998) · Technometrics · doi:10.2307/1270551 · Cited by 1,191
Data Analysis A Bayesian Tutorial
Sivia, D. S., & Skilling, J. (2016) · Choice Reviews Online · doi:10.5860/choice.34-5742 · Cited by 382
Kacker, R., & Jones, A. (2003) · Metrologia · doi:10.1088/0026-1394/40/5/305 · Cited by 179
Evolution of the ‘Guide to the Expression of Uncertainty in Measurement’
Bich, W., Cox, M. G., & Harris, P. M. (2006) · Metrologia · doi:10.1088/0026-1394/43/4/s01 · Cited by 149
Bayesian alternative to the ISO-GUM's use of the Welch–Satterthwaite formula
Kacker, R. N. (2005) · Metrologia · doi:10.1088/0026-1394/43/1/001 · Cited by 41
Noise in measurements obtained by sampling
White, D. R., & Clare, J. F. (1992) · Measurement Science and Technology · doi:10.1088/0957-0233/3/1/001 · Cited by 34
Towards a new edition of the “Guide to the expression of uncertainty in measurement”
Rabinovich, S. G. (2007) · Accreditation and Quality Assurance · doi:10.1007/s00769-007-0284-3 · Cited by 24
Accuracy of single measurements
Rabinovich, S. G. (2007) · Accreditation and Quality Assurance · doi:10.1007/s00769-007-0270-9 · Cited by 18
Cited by
Sorted by citations
The use of error and uncertainty methods in the medical laboratory
Oosterhuis, W. P., Bayat, H., Armbruster, D., Coşkun, A., Freeman, K. P., Kallner, A., Koch, D. D., MacKenzie, F., Migliarino, G. A., Orth, M., et al. (2017) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2017-0341 · Cited by 100
Measurement Uncertainty and Probability
Willink, R. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139135085 · Cited by 93
Bich, W., Cox, M. G., & Michotte, C. (2016) · Metrologia · doi:10.1088/0026-1394/53/5/s149 · Cited by 66
Revision of the ‘ Guide to the Expression of Uncertainty in Measurement ’. Why and how
Bich, W. (2014) · Metrologia · doi:10.1088/0026-1394/51/4/s155 · Cited by 58
Uncertainty in Measurement and Total Error
Theodorsson, E. (2017) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2016.09.002 · Cited by 54
An introduction to Bayesian methods for analyzing chemistry data
Hibbert, D. B., & Armstrong, N. R. (2009) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2009.03.009 · Cited by 50
From Errors to Probability Density Functions. Evolution of the Concept of Measurement Uncertainty
Bich, W. (2012) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2012.2193696 · Cited by 47
True value, error, and measurement uncertainty: two views
Lee, J. W., Hwang, E., & Kacker, R. N. (2022) · Accreditation and Quality Assurance · doi:10.1007/s00769-022-01508-9 · Cited by 25
G., M. A. L., Araya, C., Alvarado, A. M., & Seguel, R. (2011) · Accreditation and Quality Assurance · doi:10.1007/s00769-011-0844-4 · Cited by 24
A Bayesian paradox and its impact on the GUM approach to uncertainty
Attivissimo, F., Giaquinto, N., & Savino, M. (2012) · Measurement · doi:10.1016/j.measurement.2012.01.022 · Cited by 19
Examples of S1 coverage intervals with very good and very bad long-run success rate
Giaquinto, N., & Fabbiano, L. (2016) · Metrologia · doi:10.1088/0026-1394/53/2/s65 · Cited by 18
“As illustrated in S1 itself, coverage intervals computed using the approximate closed-form equations of the GUM (collectively known as GUM Uncertainty Framework or GUF) are the same obtained by the S1 exact propagation of distributions, when (i) the Central Limit Theorem is applicable, and (ii) the measurement model i…”
BackgroundInfluentialMeasurement uncertainty estimation of health risk from exposure to natural radionuclides in soil
Jokic, V. S., Župunski, L., & Zupunski, I. (2013) · Measurement · doi:10.1016/j.measurement.2013.04.019 · Cited by 16
González, A. G., Herrador, M. Á., Asuero, A. G., & Martı́n, J. (2018) · InTech eBooks · doi:10.5772/intechopen.72048 · Cited by 12
“Bich, 2008 [46] Course aimed at developing understanding of measurement and uncertainty in the introductory physics laboratory.”
BackgroundCampanelli, M. B., Kacker, R. N., & Kessel, R. (2013) · Measurement Science and Technology · doi:10.1088/0957-0233/24/2/025002 · Cited by 10
Uncertainty evaluations from small datasets
Stoudt, S., Pintar, A. L., & Possolo, A. M. (2020) · Metrologia · doi:10.1088/1681-7575/abd372 · Cited by 11
“Metrologists have since pondered how the GUM should be revised, for example [2, 58], and [3].”
An enhanced method for the evaluation of measurement uncertainty
Willink, R. (2022) · Measurement Sensors · doi:10.1016/j.measen.2022.100373 · Cited by 8
The GUM Supplement 1 and the Uncertainty evaluations of eMc Measurements
Marta, S. (2010) · Cited by 7
Claramunt, I., & Pérez, L. (2014) · Accreditation and Quality Assurance · doi:10.1007/s00769-014-1051-x · Cited by 6
Observations on the worst case uncertainty
Fabbiano, L., Giaquinto, N., Savino, M., & Vacca, G. (2013) · Journal of Physics Conference Series · doi:10.1088/1742-6596/459/1/012038 · Cited by 5
“Indeed, either it is infinite (in the Gaussian approximation), or it needs separate propagation rules [2].”
BackgroundRabinovich, S. G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6717-5_9 · Cited by 4
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_5 · Cited by 4
On the worst case uncertainty and its evaluation
Fabbiano, L., Giaquinto, N., Savino, M., & Vacca, G. (2016) · Journal of Instrumentation · doi:10.1088/1748-0221/11/02/p02001 · Cited by 3
Modeling Measurement and Its Quality
Mari, L. P., Wilson, M. R., & Maul, A. (2023) · Springer series in measurement science and technology · doi:10.1007/978-3-031-22448-5_7 · Cited by 2
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_9 · Cited by 1
Measuring Instruments and Their Properties
Rabinovich, S. G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6717-5_2 · Cited by 1
Statistical Methods for Experimental Data Processing
Rabinovich, S. G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6717-5_3 · Cited by 1
Statistical Methods for Experimental Data Processing
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_3 · Cited by 1
Examples of Measurements and Measurement Data Processing
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_8 · Cited by 1
General Concepts in the Theory of Measurements
Rabinovich, S. G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6717-5_1
Examples of Measurements and Measurement Data Processing
Rabinovich, S. G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6717-5_8
Modeling measurement and its quality
Mari, L. P., Wilson, M. R., & Maul, A. (2021) · Springer series in measurement science and technology · doi:10.1007/978-3-030-65558-7_7
General Concepts in the Theory of Measurements
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_1
Measuring Instruments and Their Properties
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_2
Rabinovich, S. G. (2017) · Springer series in measurement science and technology · doi:10.1007/978-3-319-60125-0_4
Metadata
- Authors
- Bich, W.
- Affiliations
- Istituto Nazionale di Ricerca Metrologica (IT)
- Corresponding author
- Bich, Walter
- ORCID
- Bich, Walter
- Venue
- Accreditation and Quality Assurance
- Published
- 2008-01-26
- Volume
- 13
- Issue
- 4-5
- Pages
- 271-275
- ISSN
- 0949-1775 (ISSN-L)
- 1432-0517
- OpenAlex
- W1994861625
- Cited by
- 34
- References
- 9
- Citations by year
- 2023: 1 · 2022: 2 · 2021: 1 · 2020: 1 · 2018: 1 · 2017: 8 · 2016: 4 · 2014: 2 · 2013: 9 · 2012: 2
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Accreditation and Quality Assurance (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Instrumentation › Scientific Measurement and Uncertainty Evaluation
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Measurement and Metrology Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Electrical Measurement Techniques
- Keywords
- Guide to the Expression of Uncertainty in Measurement, measurement uncertainty, metrology, uncertainty analysis
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