Abstract
It is presented an integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing. The data can be obtained by a Monte-Carlo simulation and/or taken from real comparisons. Numerical experimental investigations with the software have shown that, as against traditional techniques of interlaboratory comparison data processing, the preference aggregation method provides a robust comparison reference value to be closer to a nominal value.
| Original language | English |
|---|---|
| Title of host publication | XXI IMEKO World Congress "Measurement in Research and Industry" |
| Publisher | IMEKO-International Measurement Federation Secretariat |
| Publication status | Published - 2015 |
| Event | 21st IMEKO World Congress on Measurement in Research and Industry - Prague, Czech Republic Duration: 30 Aug 2015 → 4 Sep 2015 |
Other
| Other | 21st IMEKO World Congress on Measurement in Research and Industry |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 30.8.15 → 4.9.15 |
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Keywords
- Interlaboratory comparisons
- Largest consistency subset
- Preference aggregation
- Reference value
- Robust method
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A software tool for simulation of interlaboratory comparison data evaluation method using preference aggregation. / Muravyov, Sergey; Marinushkina, Irina.
XXI IMEKO World Congress "Measurement in Research and Industry". IMEKO-International Measurement Federation Secretariat, 2015.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - A software tool for simulation of interlaboratory comparison data evaluation method using preference aggregation
AU - Muravyov, Sergey
AU - Marinushkina, Irina
PY - 2015
Y1 - 2015
N2 - It is presented an integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing. The data can be obtained by a Monte-Carlo simulation and/or taken from real comparisons. Numerical experimental investigations with the software have shown that, as against traditional techniques of interlaboratory comparison data processing, the preference aggregation method provides a robust comparison reference value to be closer to a nominal value.
AB - It is presented an integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing. The data can be obtained by a Monte-Carlo simulation and/or taken from real comparisons. Numerical experimental investigations with the software have shown that, as against traditional techniques of interlaboratory comparison data processing, the preference aggregation method provides a robust comparison reference value to be closer to a nominal value.
KW - Interlaboratory comparisons
KW - Largest consistency subset
KW - Preference aggregation
KW - Reference value
KW - Robust method
UR - http://www.scopus.com/inward/record.url?scp=84951139837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951139837&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84951139837
BT - XXI IMEKO World Congress "Measurement in Research and Industry"
PB - IMEKO-International Measurement Federation Secretariat
ER -