Article2002

Bump-hunting for the proficiency tester—searching for multimodality

44 citations0/0 files storedThe Analyst

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 Applications Statistical Distribution Estimation and Applications

Abstract

Kernel density estimation is a method for producing a smooth density approximation to a dataset and avoiding some of the problems associated with histograms. If it is used with a degree of smoothing determined by a fitness for purpose criterion, it can be applied to proficiency test data in order to test for multimodality in the z-scores. The bootstrap is an essential additional technique to determine how rugged the initially estimated kernel density is: the random resampling of the data in the bootstrap simulates a complete blind repeat of the proficiency test. In addition, useful estimates of the standard error of a mode can be thus obtained. It is suggested that a mode and its standard error can be used as an assigned value and its standard uncertainty.

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 — 44 citations exist upstream.

References

1993The international harmonized protocol for the proficiency testing of (chemical) analytical laboratories (Technical Report)1997Proficiency Testing in Analytical Chemistry 2000A new model for the inference of population characteristics from experimental data using uncertainties. Application to interlaboratory studies

Cited by

2012Precision in chemical analysis: a critical survey of uses and abuses 2009Results of four inter-laboratory comparisons provided by the Forensic Isotope Ratio Mass Spectrometry (FIRMS) network 2004A new model for the inference of population characteristics from experimental data using uncertainties 2006Fitness for purpose – the integrating theme of the revised Harmonised Protocol for Proficiency Testing in Analytical Chemistry Laboratories 2008A comparison of location estimators for interlaboratory data contaminated with value and uncertainty outliers 2005Evaluation of the use of consensus values in proficiency testing programmes 2008How proficiency testing can improve the quality of analytical data using vitamin analysis as an example 2007A comparison of performance statistics for proficiency testing programmes

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.