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The standard uncertainty from the laboratory (u lab) is most likely to fall in a range between a minimum uncertainty (u min) and a maximum allowed (u max, case a).
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data and will lead to the minimum uncertainty condition.
A minimum uncertainty of 0.01 nT was imposed in order to reflect the added uncertainty due to rounding errors.
The expanded uncertainty (U) was then calculated by multiplying u by the coverage factor (k = 2) (U = k×u).
Under the minimum uncertainty condition, the total amount of information can be maintained constant.
Random and systematic uncertainty contributions were merged for the calculation of the combined measurement uncertainty u c.
After estimation, all sources of uncertainty were combined according to the law of propagation of uncertainties, obtaining the combined standard uncertainty (u(Ca)).
In addition, we showed that Gaussian distributions realize the minimum uncertainty condition using the Cramèr-Rao inequality, and the minimum uncertainty condition can give a smaller error than that implied by the usual Kennard-Robertson lower limit.
The uncertainty (U) coefficient of determination (R2) is the proportion of variation (uncertainty) in the dataset that is attributable to the logistic regression model.
Thus, outputs of the TE model have a minimum uncertainty associated with the uncertainty in the primary measurements.
The expanded uncertainty (U) is obtained by multiplying the combined standard uncertainty by a coverage factor (Joint Committee for Guides in Metrology 2008).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com