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Estimates (such as mean, standard deviation and confidence interval) are extracted from a non-parametric data set (no underlying distribution is assumed in the data set), to provide an approximation of the accuracy of the statistical estimates [ 34], in order to represent the uncertainty in the costs and to test whether there are significant differences between the costs of both groups [ 35].
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Data pertaining to an existing installation are used to verify quantitatively the effect of this approximation on the accuracy of flow calculations.
Thus, we maintain that our results on previously described disease genes represent a reasonable approximation of the true accuracy of OVA.
For possible applications of the double inequality (2.11) in the theory of approximations, the accuracy of bounds in (2.11) for the arc tangent function is described by Figures 1 and 2. The upper curves in Figures 1 and 2 are, respectively, the graphs of the functions (2.12).
We show that, in spite of this fact, it produces approximations of the same accuracy.
Adequate pulse characteristics which will disturb a first- and a second-order system in a single pulse test were found by analysing the effects of pulse height and duration, integration step size in computation and the type of approximation used on the accuracy of the results.
This paper investigates the effects of the approximation assumption on the accuracy of in-plane buckling and postbuckling analyses of pin-ended and fixed shallow parabolic arches by comparing the analytical solutions with their finite element counterparts.
An approximation of predefined accuracy of the Pareto set, which can be convex or non-convex, is calculated.
Accuracy estimated using the prediction error variance of the mixed model equations (r PEV )) was shown to be a good approximation of empirical accuracy for the simulation example.
To assess the impact of clustering and to deal with multilevel data, we performed the multi-level mixed effects logistic model (xtmelogit) using Stata/SE 11.2 for Windows (2009 StataCorp LP) with Adaptive Gauss-Hermite quadrature approximation (to improve the accuracy of estimation).
This can be done by applying strategies that compare the protein or gene networks involved in the process of interest in order to establish a similarity ranking that can be used to predict, to a first approximation, the accuracy of extrapolating the behavior of specific processes between organisms.
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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