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(a) Decimal scale of W N and (b) logarithmic scale of W N. With the assumption that H is a discrete uniform distribution in the range of 0 to 255 (with 16 elements), the ideal mean value of this distribution would be equal to the 1 2 maximum value of the distribution (in the maximum value condition, all elements are equal to 255): 255 × 16 2 = 2, 040.
Insets show the respective median ± standard error of mean and maximum value of the distribution as well as its sample size.
To provide information on the age of paralogous families identified in this study, we estimated the age of a paralogous family from the maximum value of the distribution of pairwise dS calculated among all members of that protein family (see Methods).
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But, having said that, sensitivity analysis for the BIA set may not be useful; one-way sensitivity analyses may still be informative, i.e. testing for sensitivity to input variables, e.g. by using exploring extreme values, ±25% or a 1-way sensitivity analysis based on minimum and maximum values of the distribution.
In both cases, mclust successfully identified two distributions and we used the maximum value of the first distribution as an unbiased, objective cutoff to separate the two distributions.
The threshold was set as the average value between the minimum correlation value of the positive-match distribution and the maximum value of the no-match distribution.
Furthermore, the maximum value of the GRAD frequency distribution (~1 × 10−8 km s−1/2) is larger than that for the March 10 results (Fig. 4, ~2 × 10−9 km s−1/2).
In the bubbly flow regime, as shown in Figure 4, the maximum value of the void fraction distribution is approximately 0.18 in the case of the nanofluid; this value is smaller than that of pure water, 0.225, at the center of the test section.
The distribution and maximum value of the interfacial shear strength has been estimated using a modified shear-lag model.
The distribution of the maximum value of the wind-excited response of structures is usually determined by the Davenport's model assuming that the structural response is a random stationary Gaussian process and the up-crossings of high response thresholds are rare independent events.
Their optimal objectives are to minimize the mathematical expectation of the asymptotic variance of the MLE of the pth quantile over the prior distributions, and minimize the maximum value of the asymptotic variance of the MLE of the pth quantile over the parameter interval, respectively.
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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