<p>The 95% percentile and the tested map (value of s for the true split) are indicated for the four different thresholds per method. (A) Direct-method. (B) Median-method. (C) Square-method.</p
The main practical drawback of permutation testing is that, except for very small sample sizes, the...
The main practical drawback of permutation testing is that, except for very small sample sizes, the...
This is the third edition of a well known and highly praised book. A detailed review of the second e...
For groups G1 and G2, we create new random subgroups and test them. Then, we correct the obtained re...
The primary purpose of this textbook is to introduce the reader to a wide variety of elementary perm...
This research monograph provides a synthesis of a number of statistical tests and measures, which, a...
The permutation test is a non-parametric method for assessing statistical significance and this meth...
<p>Results of permutation statistics using SVM split half cross-validation on uncorrected (red) and ...
<p>Dashed line represents distribution of R2 obtained from randomized data and solid line represents...
<p>Numbers are p-values based on two-sided permutation tests. Significant p-values (after Bonferroni...
<p>Every sub-figure in Fig. 2 is divided into 7 groups. Sub-figure (a) is the figure of random divis...
<p>(A) The distributions of the T-scores in the real (blue) and permuted (red) data sets. The varian...
Comparison results of FDS and PIS in 10,000 pairs of random processes using 70%, 80%, and 90% thresh...
Mean and percentiles for the distributions of out of sample generalization accuracies across 500 rep...
<p>Distribution of the optimal number of clusters in 100 runs of cluster analysis with changing orde...
The main practical drawback of permutation testing is that, except for very small sample sizes, the...
The main practical drawback of permutation testing is that, except for very small sample sizes, the...
This is the third edition of a well known and highly praised book. A detailed review of the second e...
For groups G1 and G2, we create new random subgroups and test them. Then, we correct the obtained re...
The primary purpose of this textbook is to introduce the reader to a wide variety of elementary perm...
This research monograph provides a synthesis of a number of statistical tests and measures, which, a...
The permutation test is a non-parametric method for assessing statistical significance and this meth...
<p>Results of permutation statistics using SVM split half cross-validation on uncorrected (red) and ...
<p>Dashed line represents distribution of R2 obtained from randomized data and solid line represents...
<p>Numbers are p-values based on two-sided permutation tests. Significant p-values (after Bonferroni...
<p>Every sub-figure in Fig. 2 is divided into 7 groups. Sub-figure (a) is the figure of random divis...
<p>(A) The distributions of the T-scores in the real (blue) and permuted (red) data sets. The varian...
Comparison results of FDS and PIS in 10,000 pairs of random processes using 70%, 80%, and 90% thresh...
Mean and percentiles for the distributions of out of sample generalization accuracies across 500 rep...
<p>Distribution of the optimal number of clusters in 100 runs of cluster analysis with changing orde...
The main practical drawback of permutation testing is that, except for very small sample sizes, the...
The main practical drawback of permutation testing is that, except for very small sample sizes, the...
This is the third edition of a well known and highly praised book. A detailed review of the second e...
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