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The software business however is very volatile and there is an external pressure to decrease the uncertainty level over time. The project must actively and continuously work to reduce the uncertainty level. The cone of uncertainty is narrowed both by research and by decisions that remove the sources of variability from the project.
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.. All measurements are subject to uncertainty and a measurement result is complete only when it is accompanied by a statement of the associated uncertainty, such as the standard deviation.
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:
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The measurement uncertainty budget is determined once and remains constant. With a constant measurement uncertainty budget, complete data records can now be acquired. The measurement uncertainty applies to every single measurement point. If the measurement uncertainty is constant, this simplifies the further processing based on the data records.
This year’s an experimental new cone will look a little different. Here’s what it means.
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A small mass has an extremely small Schwarzschild radius. A black hole of mass similar to that of Mount Everest [19] [note 2] would have a Schwarzschild radius much smaller than a nanometre. [note 3] Its average density at that size would be so high that no known mechanism could form such extremely compact objects.