Proper rounding of the measurement results under normality assumptions

Gejza Wimmer · Viktor Witkovský · Tomas Duby

19 citations0/0 files storedMeasurement Science and Technology

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 Probability and Statistical Research Numerical Methods and Algorithms

Abstract

We introduce a new method for rounding of measured values and their uncertainties. We define a new concept called `ε-properly rounding' and describe exactly the probability properties of the rounded measured values and their `ε-proper confidence intervals'. We propose general rules for proper rounding of the measurement results under normality assumptions. Finally we examine the probabilistic properties of the standard methods of rounding given in the Guide to the Expression of Uncertainty in Measurement of the ISO (1995).

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 — 19 citations exist upstream.

References

1979Statistics for Experimenters

Cited by

2002Proper rounding of the measurement results under assumption oftriangular distribution

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.