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  2. In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random errors) on the uncertainty of a function based on them.

  3. The propagation stage of uncertainty evaluation is known as the propagation of distributions, various approaches for which are available, including the GUM uncertainty framework, constituting the application of the law of propagation of uncertainty, and the characterization of the output quantity Y {\displaystyle Y} by a Gaussian or a t ...

  4. Uncertainty propagation is the quantification of uncertainties in system output (s) propagated from uncertain inputs. It focuses on the influence on the outputs from the parametric variability listed in the sources of uncertainty. The targets of uncertainty propagation analysis can be:

  5. Aug 29, 2023 · Because we determine the mass of KHP by subtracting the container’s final mass from its initial mass, the uncertainty of the mass of KHP u(m KHP), is given by the following propagation of uncertainty.

  6. Aug 29, 2023 · Propagation of Error (or Propagation of Uncertainty) is defined as the effects on a function by a variable's uncertainty. It is a calculus derived statistical calculation designed to combine uncertainties from multiple variables to provide an accurate measurement of uncertainty.

  7. Jan 10, 2008 · From Wikipedia, the free encyclopedia. Jump to: navigation, search. In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors) on the uncertainty of a function based on them.

  8. Feb 11, 2024 · The short answer is, yes. Let’s consider three examples of how we can use a propagation of uncertainty to help guide the development of an analytical method. One reason to complete a propagation of uncertainty is that we can compare our estimate of the uncertainty to that obtained experimentally.

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