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This function is sometimes called "information gain," albeit it measures an information loss from using a "test" distribution to approximate a "true" distribution.
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Grain-size distribution analysis was carried out using a test method for particle size distribution in soils (JIS A 1204: 2009).
Differential expression of genes was evaluated using a test based on the negative binomial distribution as integrated in the Bioconductor R package DESeq [ 48], with a standard level of p ≤ 0.05 indicating significance.
We performed the KH tests under the GTR+ G + I and GTR+ G models for the plastid and nuclear datasets using a normal test distribution.
Quantitative cases (cases where both sexes were present, but there was a significant bias in the numbers of one sex) were also analyzed for statistical significance using a binomial distribution test.
The significance of these classifications was calculated using a hypergeometric distribution test.
The significance of gene list overlaps was calculated using a hypergeometric distribution test.
Transcription factor target and motif enrichment significance were calculated using a hypergeometric distribution test.
These alternatives can be tested using MochiView's motif distribution utilities, which test for non-random positional distribution using a statistical test for non-uniform distribution described by Casimiro et al. [ 32].
We also performed tests using a uniform distribution across all settings to test the importance of using this prior knowledge from the pathway.
In pharmacokinetic analysis, it may not really be the most appropriate test (using a hypothesis test assuming a X distribution for the objective function) of whether an added exponential is statistically significant.
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