Informatively optimal levels of confidence for mesurement uncertainty

The conception of dimensional perfection and based on principles of qualimetry and information theory the criterion of informational optimality have been used for analyzing modeling functions of measurement. By means of variances of uncertainty contributions, transformed into their relative weights, the possibility of determining informatively rational and optimal levels of confidence for expanded uncertainty has been demonstrated. Commonly used 95% level of confidence has been analyzed for establishing an extent of corresponding to the proposed new approach and proven as being optimally redundant. The author believes that this paper may be of interest and practical value for professionals engaged in improving metrological estimations.

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JD 10.0.3-1 Report on scientific work. "Informatively optimal combining, expanding, and establishing traceability in evaluating measurement uncertainties". The National Physical Laboratory of Israel (INPL). Jerusalem, 2011.

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