Article2007

Optimised Measurement Uncertainty and Decision-Making in Conformity Assessment

26 citations0/0 files storedNCSLI Measure

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 Quality and Management Systems Advanced Measurement and Metrology Techniques

Abstract

Risks of incorrect decision-making in conformity assessment associated both with sampling and measurement uncertainties and rules which limit these risks are tackled with an economic decision theor...

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 — 26 citations exist upstream.

References

1992Introduction to Statistical Quality Control 1993Taguchi on Robust Technology Development 1997Introduction to Statistical Quality Control 1996What exactly is fitness for purpose in analytical measurement?2005A probabilistic approach to measurement-based decisions 2002A decision theory approach to fitness for purpose in analytical measurement 2006Measurement uncertainty and optimized conformance assessment 2001Optimised uncertainty at minimum overall cost to achieve fitness-for-purpose in food analysis

Cited by

2009Optimising calibration and measurement capabilities in terms of economics in conformity assessment 2014Uncertainty-based measurement quality control 2010Measurement with Persons: A European Network 2015Conformity testing of satellite-derived quantitative surface variables 2022A Review of Metrological Supervision: Towards the Common Understanding of Metrological Traceability in Legal and Industrial Metrology 2020

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.