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  1. 5 kwi 2001 · The following text will describe how these steps can be systematized and performed in a pragmatic manner. Formal accreditation of laboratories and measurement procedures or methods according to the ISO standards 15189 (1) and 17025 (2) requires that the uncertainty in measurements is estimated.

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  2. The second edition stressed that the procedures introduced by a laboratory to estimate its measurement uncertainty should be integrated with existing quality assurance measures, since these measures frequently provide much of the information required to evaluate the measurement uncertainty.

  3. reviewing and comparing the currently available approaches for evaluating measurement uncertainty of quantitative test results and giving some examples. After more than ten years since publication of the 1st edition, the Guide to the Expression of Uncertainty in Measurement, known as the GUM, is acknowledged as the master document

  4. 28 wrz 2017 · This chapter presents and explains the most used methodologies for the evaluation of measurement uncertainty in metrology with practical examples.

  5. The ‘Guide to the expression of uncertainty in measurement’ (GUM) establishes general rules for evaluating and expressing uncertainty in measurement from the shop floor to fundamental research.

  6. Revised version of ISO 19036 offers a pragmatic approach to MU in quantitative food chain microbiology choice left between. Comprehensive approach with 3 components: technical, matrix and distributional uncertainties. Simplified approach: MU restricted to technical uncertainty.

  7. This suite of examples illustrates good practice in evaluating measurement uncertainty in a variety of fields including calibration, testing, comparison and conformity, and relate to sectors that include environment, energy, quality of life, industry and society.