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In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random errors) ...
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:
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 ...
Uncertainty or incertitude refers to situations involving imperfect or ... By propagating the variances of the components through a function relating the components ...
In physical experiments uncertainty analysis, or experimental uncertainty assessment, deals with assessing the uncertainty in a measurement.An experiment designed to determine an effect, demonstrate a law, or estimate the numerical value of a physical variable will be affected by errors due to instrumentation, methodology, presence of confounding effects and so on.
If the perturbation required is small, on the order of the uncertainty in the input data, then the results are in some sense as accurate as the data "deserves". The algorithm is then defined as backward stable .
For instance, AI can make it easier than ever for individuals to spread false information across the internet and nations are propagating disinformation and other forms of propaganda to subvert ...
Probability bounds analysis (PBA) is a collection of methods of uncertainty propagation for making qualitative and quantitative calculations in the face of uncertainties of various kinds. It is used to project partial information about random variables and other quantities through mathematical expressions.