Precise measurand value estimating by interval fusion with preference aggregation: Heteroscedasticity case

Research output: Contribution to conferencePaperpeer-review

Abstract

It is considered the problem of determination of a reference value for heteroscedastic interval data. For this aim, the newly proposed by the authors interval fusion with preference aggregation (IF&PA) procedure is used. The procedure, modified to improve the accuracy of the fusion result, is presented and applied to process the heteroscedastic data of a real experiment. The experiment consisted in determination of the reference value of DC voltage based on the readings of five different models of multimeters. For comparison, the same data were processed by the method of weighted mean. For two methods, an absolute deviations of the obtained reference values from the nominal value (which is a high-precision calibrator output) and reference value uncertainties were estimated. It is shown that the IF&PA procedure allows to obtain a reference value very close to nominal value and with considerably reduced uncertainty in comparison with traditional method based on weighted mean calculation.

Original languageEnglish
Pages208-213
Number of pages6
Publication statusPublished - 2020
Event17th IMEKO TC 10 and EUROLAB Virtual Conference: Global Trends in Testing, Diagnostics and Inspection for 2030 - Dubrovnik, Virtual, Croatia
Duration: 20 Oct 202022 Oct 2020

Conference

Conference17th IMEKO TC 10 and EUROLAB Virtual Conference: Global Trends in Testing, Diagnostics and Inspection for 2030
CountryCroatia
CityDubrovnik, Virtual
Period20.10.2022.10.20

Keywords

  • Consensus estimate
  • Heteroscedasticity
  • Interval fusion
  • Preference aggregation
  • Ranking

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Precise measurand value estimating by interval fusion with preference aggregation: Heteroscedasticity case'. Together they form a unique fingerprint.

Cite this