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The skill of the datasets is tested for the Biebrza River catchment, which has a hydrological regime dominated by snowmelt.
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Third, both stationary and kinematic datasets are tested.
Sample medical, sensory datasets and fire detection datasets are tested on the proposed system.
Sample medical sensory data sets and fire detection datasets are tested on the proposed system.
Simulated datasets were tested for combinations of the following parameters: basis function, global scaling, low-pass filter, high-pass filter and autoregressive modeling of serial autocorrelation.
The background data and the experimental data were compared, and differences between the datasets were tested for significance using multivariate analysis at the 0.001 significance level.
Several simulated datasets were tested, encompassing different combinations of amplitudes and prevalences (the frequency of mutation in the population).
The ability of these eight genes to predict COPD severity based on FEV1 in two public datasets was tested using class prediction in BRB-ArrayTools V3.8.
Datasets were tested for sphericity with Mauchly's sphericity test.
The reliability of molecular grades in the different datasets and in pooled datasets was tested.
The normal distribution of the datasets was tested using the Shapiro-Wilk test.
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