For groups G1 and G2, we create new random subgroups and test them. Then, we correct the obtained result in the original group (Pc, red line), with respect to the 5% percentile of the obtained distribution of p-values (P0.05, black line). If the result is in the percentile, we consider it significant.</p
<p>Displayed are the distributions of the randomly generated group pair differences. The red arrow i...
Non-parametric tests based on permutation, rotation or sign-flipping are examples of group-invarianc...
<p>Dashed line represents distribution of R2 obtained from randomized data and solid line represents...
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The appr...
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The appr...
<p>D_P, the P value of the difference between the normal control and AD group.</p><p>P_P, the permut...
422-425In this study, suitable number of permutations were tried to be determined empirically for pe...
It is shown that the exact p-values of permutation and bootstrap hypothesis tests of difference betw...
It is shown that the exact p-values of permutation and bootstrap hypothesis tests of difference betw...
In multigroup factor analysis, different levels of measurement invariance are accepted as tenable wh...
“T” is the MRPP test statistic which calculates the difference between observed and expected delta. ...
n the present paper we consider a group comparison in PLS-Path Modeling. The aim of this methodology...
The permutation test is a non-parametric method for assessing statistical significance and this meth...
<p>The 95% percentile and the tested map (value of s for the true split) are indicated for the four ...
<p>D_P, the P value of the difference between the normal control and AD group.</p><p>P_P, the permut...
<p>Displayed are the distributions of the randomly generated group pair differences. The red arrow i...
Non-parametric tests based on permutation, rotation or sign-flipping are examples of group-invarianc...
<p>Dashed line represents distribution of R2 obtained from randomized data and solid line represents...
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The appr...
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The appr...
<p>D_P, the P value of the difference between the normal control and AD group.</p><p>P_P, the permut...
422-425In this study, suitable number of permutations were tried to be determined empirically for pe...
It is shown that the exact p-values of permutation and bootstrap hypothesis tests of difference betw...
It is shown that the exact p-values of permutation and bootstrap hypothesis tests of difference betw...
In multigroup factor analysis, different levels of measurement invariance are accepted as tenable wh...
“T” is the MRPP test statistic which calculates the difference between observed and expected delta. ...
n the present paper we consider a group comparison in PLS-Path Modeling. The aim of this methodology...
The permutation test is a non-parametric method for assessing statistical significance and this meth...
<p>The 95% percentile and the tested map (value of s for the true split) are indicated for the four ...
<p>D_P, the P value of the difference between the normal control and AD group.</p><p>P_P, the permut...
<p>Displayed are the distributions of the randomly generated group pair differences. The red arrow i...
Non-parametric tests based on permutation, rotation or sign-flipping are examples of group-invarianc...
<p>Dashed line represents distribution of R2 obtained from randomized data and solid line represents...
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