Cited by 36Scientific Measurement and Uncertainty EvaluationAdvanced Measurement and Metrology TechniquesCalibration and Measurement Techniques

Combined result and associated uncertainty from interlaboratory evaluations based on the ISO Guide

Open access
Kacker, R, Datla, R, Parr, A·2002·Metrologia

Abstract

We address the problem of determining the combined result and its associated uncertainty in the measurement of a common measurand by a group of competent laboratories. Most data analyses of interlaboratory evaluations are based on the assumption that the expected values of the individual laboratory results are all equal to the value of the common measurand. This means that the laboratory results are subject to random effects only with respect to the value of the measurand. This assumption is frequently unjustified. We use the more realistic assumption that the laboratory results are subject to both random and systematic effects with respect to the value of the measurand. In this case, the value of the measurand may fall anywhere within the range of results. Therefore, a combined result and its associated standard uncertainty that place a non-negligible fraction of the results outside the 2-standard-uncertainty interval are unsatisfactory representations of the value of the common measurand provided by the set of laboratory results. The more realistic assumption requires us to deal with the uncertainty arising from possible systematic effects in the laboratory results. Following the approach of the ISO Guide to deal with systematic effects, we propose a three-step method to determine a combined result and its associated standard uncertainty such that the 2-standard-uncertainty interval would include a sufficiently large fraction of the results. When the interlaboratory evaluation is an International Committee for Weights and Measures (CIPM) key comparison, we suggest that the combined result and its associated standard uncertainty determined by the three-step method be identified with the key comparison reference value and its associated standard uncertainty. These quantities can then be used to specify the degree of equivalence of the individual laboratory results. We illustrate the three-step method by applying it to the results of an international comparison of cryogenic radiometers recently organized by the Consultative Committee for Photometry and Radiometry (CCPR).

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1088/0026-1394/39/3/5

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • With the lock scheme to the transitions from the mF=±9/2 states, online information on the magnetic field strength at the position of the atoms is obtained provided that the lattice vector shift is sufficiently small.

    “With the lock scheme to the transitions from the m F = ± 9 / 2 states, we obtain online information on the magnetic field strength at the position of the atoms provided that the lattice vector shift [48] is sufficiently small.”

    From Long-distance chronometric leveling with a portable optical clock (2024) · cites this paper as [48]

    The citation is attached to the condition about a sufficiently small lattice vector shift. Our copy’s section 5 discusses comparisons of cryogenic radiometers, not lattice vector shifts or atomic transitions. Searches for those terms and related optical-lattice terminology found no passage addressing the cited condition. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 10

  1. Birge R. T., Phys. Rev., 1932, 40, 207-227.
  2. Levenson M. S., Banks D. L., Eberhardt K. R., Gill L. M., Guthrie W. F., Liu H. K., Vangel M. G., Yen J. H., Zhang N. F., J. Res. Natl. Inst. Stand. Technol., 2000, 105, 571-579.
  3. Paule R. C., Mandel J., J. Res. Natl. Bur. Stand., 1982, 87, 377-385.
  4. Rukhin A. L., Vangel M. G., J. Am. Stat. Assoc., 1998, 93, 303-308.
  5. Taylor B. N., Parker W. H., Langenberg D. N., Rev. Mod. Phys., 1969, 41, 375-496 (Section III.A.1.).
  6. Mohr P. J., Taylor B. N., J. Phys. Chem. Ref. Data, 1999, 28, 1713-1852, Section 4.1 and Appendix E.
  7. Box G. E. P., Tiao G. C., Bayesian Inference in Statistical Analysis, Theorem 2.4.1, Reading, Mass., Addison-Wesley, 1973.
  8. Evans M., Hastings N., Peacock B., Statistical Distribu- tions, 3rd ed., New York, John Wiley & Sons, 2000.
  9. Aitken A. C., Proc. R. Soc. Edinburgh, A, 1935, 55, 42-48.
  10. Pearson E. S., Hartley H. O., Biometrika Tables for Statistician, 3rd ed., Table 31a, Cambridge, Cambridge University Press, 1966.

Cited by

Sorted by citations

Authors
Kacker, R., Datla, R., & Parr, A.
Affiliations
National Institute of Standards and Technology (US)
Venue
Metrologia
Published
2002-06
Volume
39
Issue
3
Pages
279-293
ISSN
0026-1394 (ISSN-L)
OpenAlex
W2031377355
Cited by
36
References
16
Citations by year
2025: 1 · 2024: 1 · 2018: 1 · 2017: 5 · 2016: 3 · 2015: 2 · 2014: 1 · 2013: 1 · 2012: 3
FWCI
2.63
Type
journal article
Language
en
Open access
Locations
Metrologia (publishedVersion)
Funders
Advanced Low Carbon Technology Research and Development Program
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Scientific Measurement and Uncertainty Evaluation
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Measurement and Metrology Techniques
  • Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
Keywords
interlaboratory comparison, measurement uncertainty, systematic effects, random effects, key comparison, cryogenic radiometer, reference values

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review