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To avoid the improper integrals, the scaled variable is suggested to derive the POME-based distribution.
The Pearson's method was performed for the scaled variable, and the Spearman's method was performed for the ordinal variables.
Models with a predefined set of features identified by scaled variable importance (a) and unscaled variable importance (b).
Next, based on the scaled variable reduced coordinates (SVRc), a novel robust mathematical modeling strategy was introduced using PSO that was successfully implemented and checked.
The dependence of the scaled variable (T_{ij}/langle Trangle_{ij}) on (tau_{ij}/langle taurangle_{ij}) is shown in Figure 4(b) (red squares).
Now applying the first four moments about origin to the scaled variable X and the first three moments about origin to the scaled variable Y, Table 2 lists the parameters estimated by optimizing the objective function using the first four moments about origin [i.e., Eq. (38)].
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Choosing d = 0.1 in Eq. (36), Table 6 lists the sample statistics for the scaled variables.
These scaled variables were applied to the input neurons to carry out the ANN modeling.
Also, the scaled variables exhibit clear correlations, whereas the slopes for the randomized data are not different from zero.
where we introduce the scaled variables t 1 = Ω 2 t, x 1 = M Ω 2 x (6).
Pearson's χ 2 test was used to detect correlations for data sets containing nominally scaled variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com