Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation

S. V. Muravyov, I. A. Marinushkina

Research output: Contribution to journalArticle

2 Citations (Scopus)


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 languageEnglish
Pages (from-to)1-7
Number of pages7
JournalMeasurement Techniques
Publication statusAccepted/In press - 1 Apr 2016



  • interlaboratory comparisons
  • largest consistent subset
  • preference aggregation
  • reference value

ASJC Scopus subject areas

  • Applied Mathematics
  • Instrumentation

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