MINIMIZATION OF UNCERTAINTIES IN MEASUREMENTS WITH REPEATED OBSERVATIONS

Igor Zakharov, Natalya Shtefan

Abstract

Algorithms minimizing A-type uncertainties when processing results of measurements with repeated observations distributed according to the laws unlike the normal one are given. A comparative estimation of the developed and traditional algorithms is cited.

Keywords

uncertainty in measurements, abnormal law of distribution, Monte-Carlo method

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IMEKO-TC7-2004-124.pdf

DOI

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IMEKO TC

TC7 - Measurement Science

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