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This latter constraint amounts to maximizing the entropy of the probability distribution in question.
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Given the presence of an indication for treatment, and the decision to treat with a given drug, the probability distributions in question are functions not only of dosage (amount and timing), but also of clinical circumstances, i.e., factors that affect individual pharmacokinetics (PK) and/or pharmacodynamics (PD).
The KS test finds the maximum vertical distance between the empirical cumulative distribution functions of the two distributions in question.
The alternative multiplication factor depends on the degrees of freedom of the t-distribution in question, and some typical values are presented in Table 1.
The distributions in question are heavily skewed.
These are some minor issues, the major challenge is to design a computational procedure which allow for robust quantification of the tails of distributions in question, which cannot by computed directly by naive implementation or even estimated by Monte Carlo simulation.
The lognormal distribution is considered here to examine the effects of a skewed distribution on the tests in question.
The main requirement for CI estimation is to know the sampling distribution of the estimator in question [15].
Much attention was given to the degree distribution of the network in question (recall that the degree of a node is the number of neighbors it has in the graph).
Bootstrapping methods were applied, which build up an empirical estimate of the sampling distribution of the statistic in question by re-sampling from the original data (in this case, 10,000 iterations).
We suggest that considering comparative phylogeographic patterns of co-distributed species can expedite an accurate diagnosis by acting as a guide to sampling the known native distribution of the species in question.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com