Article2006

Resolution revisited

12 citations0/0 files storedMetrologia

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Scientific Measurement and Uncertainty Evaluation Statistical Methods and Bayesian Inference Advanced Measurement and Metrology Techniques

Abstract

A simple procedure is presented to evaluate the standard uncertainty of a quantity about which discretized measurement data are available. The procedure is based on Bayesian statistics and depends on the value of the experimental variance. If the variance is less than a certain limit, the standard uncertainty can be obtained by the numerical approximations and plots provided in the paper. Otherwise, the data can be treated as if it were not resolution-limited.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 12 citations exist upstream.

References

2013Guide to the Expression of Uncertainty in Measurement 2003On use of Bayesian statistics to make theGuide to the Expression of Uncertainty in Measurementconsistent 1997The evaluation of standard uncertainty in the presence of limited resolution of indicating devices 2002Evaluating the Measurement Uncertainty: Fundamentals and practical guidance 2000Evaluation of measurement uncertainty in the presence of combined random and analogue-to-digital conversion errors 2005Monte Carlo-based estimation of uncertainty owing to limited resolution of digital instruments

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.