Quality quandaries: Impact of only below limit of detection data
Journal Article
·
· Quality Engineering
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Here, treating below limit of detection data as left-censored data rather than as passes can lead to large reductions in the number of tests needed to demonstrate a design requirement.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1325642
- Report Number(s):
- LA-UR-15-28965
- Journal Information:
- Quality Engineering, Vol. 28, Issue 3; ISSN 0898-2112
- Publisher:
- American Society for Quality ControlCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 1 work
Citation information provided by
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