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The characterized wind electricity generation systems were statistically evaluated to assess the reduction in life cycle GHG emissions.
Differences of opinion on the two classification systems were statistically significant.
Differences on ancestry proportions in U.S. Hispanics between the two uni-parentally inherited marker systems were statistically significant (Fisher exact test value = 82.41, two tail p value = 3.11e-018).
To test if the differences of AUCs based on the different combination systems were statistically significant, we computed a one-sided p value for the hypothesis that the difference between the AUC of the two systems was not equal to 0. The tests were computed using a bootstrapping method [ 42, 43].
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Here, the numbers of trajectories exhibiting the behaviour of interest in the reference and perturbed systems are statistically compared: binomial probability confidence interval statistics have already been used in statistical model-checking software such as Prism (Kwiatkowska et al., 2011).
McNemar's test confirmed that performance difference between the systems is statistically significant (P value < 0.001).
Generally, the relationships between unionised ammonia and CO2 in both systems are statistically insignificant.
However, the difference between culture systems was statistically insignificant (t = −0.016, P > 0.05, df = 34).
The improvement of these text-based STD systems over those systems is statistically significant for train/dev data (p<10−4) and for test data (p<10−6).
Differences between the systems are statistically significant, but generally less than 12%, so the dimensional similitude approach gives a reasonable basis for estimating global hydrodynamic parameters under the present operating conditions.
It is interpreted from the obtained results that the applied correlation for calculation/estimation of the phase behavior of simple clathrate hydrate systems is statistically valid and correct, 5 hydrate dissociation data are found to be probable doubtful ones and 10 data points are out of applicability domain of the applied correlation.
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