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Descriptive statistical measures were used to confirm the goodness of the nonlinear regression models.
Statistical measures were used to evaluate the performance of the models.
A number of statistical measures were used for the evaluation of the network performance.
Various statistical measures were used to evaluate the predictive ability of the model, showing that it was suitable for predicting the carbon stocks of soils.
Because ratios tend to produce outliers, robust statistical measures were used here.
The following statistical measures were used for each of the amino acids at the two positions; the frequency (i.e. the number of times an amino acid occurred in the culled set of peptides), the best score-value, the average score, and the standard deviation of the score values for each of the used scoring functions.
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To provide a quantitative measure for checking our test results, two binary statistical measures are used: sensitivity and specificity.
The statistical measures are used to calculate maritime routes with maximum probability that an oil spill will stay at sea as long as possible.
Two statistical measures are used to determine the TFBS motifs that are over-represented in the foreground set vs. the background set, representing two different models for the occurrences of TFBSs.
Given the variability in both QD particles per vesicle section and vesicles per cell, it is essential that population-wide, statistical measures are used to quantify the dose, for probabilistic approaches are the only robust option when the individual quantities are subject to such large variation.
Unless stated otherwise, Rasch-calibrated measures were used for statistical analyses.
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