Sentence examples for use of nonparametric statistical from inspiring English sources

This installment focuses on the use of nonparametric statistical methods.

Consequently, the use of nonparametric statistical methods for the data analysis has been deemed necessary.

In this paper, we focus on the use of nonparametric statistical inference for analyzing the results obtained in an experiment design in the field of computational intelligence.

We then compared characteristics of the group with the lowest/highest hourly temperature and other groups using the Mann–Whitney test of nonparametric statistical method.

Data were analysed by means of nonparametric statistical methods using Kruskal Wallis analysis of variance, Spearman's correlation, Student's t test and the chi-square test.

Meanwhile, researchers using the IONB-PRO questionnaire should use nonparametric statistical tests.

Moreover, the probabilities of interest can be estimated using standard nonparametric statistical methods, which are commonly used in survival analysis [ 8], competing risks analysis, and estimation of the stage occupation probabilities in multi-state models [ 20].

Comparisons of safety parameters were made using appropriate nonparametric statistical methods (Fisher's exact test, Pearson's Chi square test, or Wilcoxon rank sum test) or parametric tests (analysis of variance).

The comparisons will use nonparametric statistical tests when required by the constraints of population size or distributions.

The experimental results are validated using several nonparametric statistical tests and confirm the effectiveness of the proposal for a better multi-label learning.

Statistical analysis of demographics and laboratory parameters was performed by SPSS 13.0 using standard nonparametric statistical methods (Wilcoxon signed-rank test and Mann-Whitney U test).