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This model was only used for validation and to estimate the uncertainty of the coefficients of the first model.
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We also estimate the uncertainties of each model parameter.
A method for estimating the uncertainty of calculated properties in density functional theory is introduced.
The hot question is how to estimate the probable impact of these uncertainties.
Spectrum estimates the uncertainty around the estimate of each indicator by using a Monte Carlo approach.
For example, for the regression method, it is possible to estimate uncertainty only due to the uncertainty in estimates of the mean regression fit.
This results in better location estimates as well as estimates of the uncertainty of location estimates.
These techniques fail to estimate statistical uncertainty for individual estimates, and provide only an overall average of precision.
The uncertainty subscale estimates the degree of uncertainty a patient faces in decision-making.
The uncertainty value of the indicative value was estimated as the expanded uncertainty of the indicative value combined to the uncertainties of homogeneity and stability tests.
We estimate the relevant uncertainties as follows.
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