A software tool for simulation of interlaboratory comparison data evaluation method using preference aggregation

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

Keywords

Interlaboratory comparisons
Largest consistency subset
Preference aggregation
Reference value
Robust method

ASJC Scopus subject areas

Electrical and Electronic Engineering

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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

Muravyov, S & Marinushkina, I 2015, A software tool for simulation of interlaboratory comparison data evaluation method using preference aggregation. in XXI IMEKO World Congress "Measurement in Research and Industry". IMEKO-International Measurement Federation Secretariat, 21st IMEKO World Congress on Measurement in Research and Industry, Prague, Czech Republic, 30.8.15.

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