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Measurement Uncertainty as a Test Model Assessment Tool

The paper considers a new impact assessment method of accidental and method errors on the measurement result according to the measurement uncertainty values. As a quantitative indicator of method error influence, we proposed the ratio of the theoretical and experimental data difference to average error of their definition. As a quantitative indicator of accidental error influence, we proposed the ratio of experimental data measurement uncertainty to theoretical data measurement uncertainty.