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The correlation between two continuous parameters was analyzed by Spearman's correlation coefficient by rank test.
Nonparametric tests were used to determine the influence of polymorphisms on continuous parameters, while nonparametric correlations were used for determining correlations between two continuous parameters.
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In total, twelve dichotomous and four continuous parameters were investigated in these analyses.
The similarity between two continuous curves is measured as the shortest path in parameter space in order to map one curve to the other.
The decisive element of such an extension is the introduction of a parameter characterizing the strength of the interaction between two continuous media ("phases") representing the soil and the reinforcing inclusions, respectively.
Between-group comparisons were conducted using the χ 2 test for categorical parameters and Spearman's rank correlation coefficient for correlation between two continuous variables.
Between-group comparisons were conducted using χ test for categorical parameters and Spearman's rank correlation coefficient for correlation between two continuous variables.
Correlation coefficients assess the association between two continuous distributions.
Spearman correlation coefficient was used to estimate the correlation between two continuous variables.
We have presented a novel method of estimating the information rate between two continuous signals.
Pearson's r measures the association between two continuous variables.
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