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Furthermore, by utilizing the nonparametric statistical analysis, both probability density functions (PDFs) and cumulative distribution functions (CDFs) of concerned structural displacements and stresses can be effectively established.
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The results in the control and the viral infection group were analyzed and compared by utilizing the Unpaired Student t Test and the Mann-Whitney Nonparametric Test.
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Subsequently, by utilizing either parametric or nonparametric statistical analysis, the probability density functions (PDFs), as well as the cumulative distribution functions (CDFs), of the extreme bounds of the concerned structural responses can be effectively established.
The well-known nonparametric textbook approach focuses on utilizing the discrete hazard function to define the parameters of interest.
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First, we obtain the nonparametric estimated calculation formula for expected utility by using the nonparametric estimation.
Data were compared by using the nonparametric Mann-Whitney test or the Student paired t test.
The association between different proliferation markers was tested by computing the nonparametric Spearman correlation coefficient.
Comparisons of groups were performed by using the nonparametric Kruskal-Wallis test.
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