Abstract
The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | Measurement Techniques |
| DOIs | |
| Publication status | Accepted/In press - 1 Apr 2016 |
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Keywords
- interlaboratory comparisons
- largest consistent subset
- preference aggregation
- reference value
ASJC Scopus subject areas
- Applied Mathematics
- Instrumentation
Cite this
Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation. / Muravyov, S. V.; Marinushkina, I. A.
In: Measurement Techniques, 01.04.2016, p. 1-7.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation
AU - Muravyov, S. V.
AU - Marinushkina, I. A.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.
AB - The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.
KW - interlaboratory comparisons
KW - largest consistent subset
KW - preference aggregation
KW - reference value
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UR - http://www.scopus.com/inward/citedby.url?scp=84962171208&partnerID=8YFLogxK
U2 - 10.1007/s11018-016-0886-4
DO - 10.1007/s11018-016-0886-4
M3 - Article
AN - SCOPUS:84962171208
SP - 1
EP - 7
JO - Measurement Techniques
JF - Measurement Techniques
SN - 0543-1972
ER -