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The combinations were chosen to reflect the following cases of the distribution: under-dispersion (α=6, α=4, q=0.8), over-dispersion (all other cases), monotonically decreasing (α=1.6, β=2.0, q=0.6), and unimodal with mode greater than 0 (all other cases).
When all of the cases of the distribution are in one category, there is no diversity (or variation) and the IQV is equal to 0. The IQV reflects the percentage of differences relative to the maximum possible differences in each distribution.
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Therefore, the recent development of some new distribution functions and the study of logarithmic case of the distribution functions have become hot issues in the statistical field.
Further, the knowledge of the reference base in case of the distribution model is expressed in terms of zones with each zone carrying a weightage factor.
A particular case of the distribution is shown to arise as the steady state probability of a queuing system under state dependent service rate.
In the case of the distribution of hydrogenases found in this work, this scenario seems highly unlikely.
In Figure 4 we show three cases of the joint distribution of expression values of two genes, for two conditions.
In the cases of monostability, the distributions with different histories more or less coincide.
The M-statistic is a global unfocused test, meaning it is only concerned with departures of the spatial distribution of cases from the distribution of controls, without determining the location of any (possibly multiple) clusters or other differences.
In case of MIF the distribution reflects warping of the section.
In a study from Italy, the distribution of the geographical origin of TB cases mirrored the distribution of the geographical origin of migrant populations in the country.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com