Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation


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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.

About the authors

S. V. Muravyov

National Research Tomsk Polytechnic University

Author for correspondence.
Email: muravyov@tpu.ru
Russian Federation, Tomsk

I. A. Marinushkina

Email: muravyov@tpu.ru

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