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Learn how to estimate measurement uncertainty for food microbiology testing and reporting according to ISO 19036 (2019). Find definitions, components, approaches, examples and requirements of the standard.
One useful measure of this is measurement uncertainty. Although the concept of measurement uncertainty has been recognised by chemists for many years, it was the publication in 1993 of the “Guide to the Expression of Uncertainty in Measurement” (the GUM) [H.2]
In metrology, measurement uncertainty is the expression of the statistical dispersion of the values attributed to a quantity measured on an interval or ratio scale.
In the first sections of this Beginner’s Guide, the concept and importance of measurement uncertainty are introduced. Following this, details are given of how to estimate uncertainties in real measurement situations. The main steps involved in calculating the uncertainty for a measurement are outlined with easy to follow examples.
29 wrz 2010 · Learn what measurement uncertainty is and how to evaluate it using the GUM and the Monte Carlo method. NIST provides a web application, a tutorial, and references for metrologists.
The NIST Uncertainty Machine is a Web-based software application to evaluate the measurement uncertainty associated with an output quantity defined by a measurement model of the form y = f(x 0,...,x n).
An estimate of measurement uncertainty (MU) provides an interval of values within which the true value is believed to lie with a stated probability, and is therefore a quantitative indication of the reliability of a measurement.
