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p values are adjusted for multiple hypothesis tests using Holm's method (Holm 1979).
Table 9 Wilcoxon signed-rank test for pairwise multiple hypothesis tests by using BH as adjustment method for controlling FDR.
A further issue to be addressed is that we are performing multiple hypothesis tests (Miller1981); i.e. one for each pairwise information flow statistic within the population under consideration.
For each specification and sample restriction, I report OLS results with and without controls and p values adjusted for multiple hypothesis tests using Holm's method (Holm, 1979).
Moreover, to control familywise error rates, Holm Bonferroni corrections were made to all p values when utilizing multiple hypothesis tests, e.g. when comparing central tendencies of each element between core and outcrop samples.
Furthermore, their performance guarantees cannot be directly extended to our problem since we focus on error measures that let us analyze the performance of multiple hypothesis tests simultaneously as opposed to the above methods that consider compressive classification performance for a single hypothesis test.
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The multiple hypothesis test correction in this case is a Bonferroni correction [16].
The Benjamini-Hochberg procedure was used to correct for multiple hypothesis testing.
The most restrictive multiple hypothesis test correction is the Bonferroni correction.
In the following, we omit the steps under multiple hypothesis testing for clarity.
All p-values reported are unadjusted for multiple hypothesis testing.
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