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The estimation was validated with a 10-fold cross-validation procedure.
The estimation was validated with the well-established EnergyPlus software.
IDIF estimation was validated with continuously sampled arterial blood measurements (AIFs).
The performance of several methods for CI estimation was validated by generating PFTs representing the cross-classification of two hypothetical clusterings in a population and by simulating the sampling process.
The use of individual measurements of iAs in drinking water for exposure estimation was validated by comparing the concentrations of iAs in the currently used water with the concentrations of iAs metabolites in urine, which is considered a good indicator of ongoing exposure (Lindberg et al. 2006).
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The quality of estimation is validated using a quadratic criterion.
The robustness of the automated cochlear coordinate system estimation is validated with synthetic and real data.
The choices made by the MLMC estimation are validated by the actual measurements of the potential data, and consistent with the standard MC estimation.
The accuracy of the joint moment estimation is validated against results obtained from the reference measurement system composed of a camera based motion analysis system and force plates.
Nevertheless, the results obtained by using the MLR estimator were validated by estimations with WLSMV whenever possible.
Finally, the fatigue life estimation approach was validated with fatigue test results of U-shape specimens, and it was found that the J-integral based parameter can effectively predict the fatigue life of adhesive joints with different substrate thicknesses and various joint types.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com