Abstract
The paper presents studies on the influence of probability distributions on the expanded uncertainty of the resistance measurement. Choosing the correct probability distribution is very important to estimate of measurement uncertainty. The paper presents the results of analysis of the resistance measurement uncertainty using the technical method of resistance: 100 GW. The analysis of the uncertainty measurement of resistance was carried out repeatedly, each time assuming a different probability distribution of measuring instruments (normal, quadratic, U and triangular distribution).The results of the research presented in the article show that the influence of the assumed probability distributions on the result of the measurement uncertainty analysis is significant and results discrepancies can reach up to 40%.
Highlights
Understanding the fundamentals of the uncertainty theory is important because measurement uncertainty is a component of the presented measurement result
This paper is a continuation of research conducted by the authors on the influence of wrongly assumed probability distribution on the uncertainty of resistance measurement by technical method [1]
Uncertainty type B is estimated on the basis of known or assumed probability density function measurements, which require the observer to have knowledge of the instruments that were used in the experiment
Summary
Understanding the fundamentals of the uncertainty theory is important because measurement uncertainty is a component of the presented measurement result. It is crucial to carry out the given experiment, and to correctly present the obtained value of the measured value together with the qualitative measure measurement uncertainty, because only complete results can be compared with each other. This paper is a continuation of research conducted by the authors on the influence of wrongly assumed probability distribution on the uncertainty of resistance measurement by technical method [1]
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