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Some known and new distributions are seen as particular cases of this distribution.
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In the case of the distribution of hydrogenases found in this work, this scenario seems highly unlikely.
Given multiple possible sources for a case, we can use knowledge of this distribution to tell us how likely each is to be the true source.
For example, in the case of percentage error, the median of this distribution gives an idea on how high the prediction errors are in general.
Continuous variables are presented as means (± standard deviations) in cases of normal distribution or as medians (interquartile ranges) in cases of non-normal distribution.
Thus, it was not possible to use the ImageJ in any of the cases of this study to evaluate the size distribution of the nanoparticles with an acceptable accuracy.
Certain distributions, considered as special cases of other distributions, can be derived from the original distribution by parameter substitution.
Fixed points and cycles are two special cases of stationary distributions.
In the case of abnormal distribution of LAR-values in this study, median, interquartile range, and Mann–Whitney- U test results were calculated.
We consider the cases of distributions with nearly the same shape but considerably distinct correlation lengths, and distributions with same correlation but with contrasting relative kurtosis.
In case of a normal distribution, this cutoff level corresponds to a significance level of 2.5%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com