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The study gives insights for further spatial mapping of SOC by focusing on more appropriate variables at specific spatial scales.
By using more appropriate variables for describing the porous media and introducing a wall energetic criterion Xew, a general correlating equation is proposed based on the following considerations.
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This may serve as a more appropriate independent variable in future multivariable models.
Specifically, the binary logistic regression was employed since it allows the predictions on a mixture of continuous and categorical variables, given that this technique is more appropriate for dichotomous variables.
Also, in comparison to principal component analysis, the MCA technique is more appropriate for discrete variables.
Also, in comparison to principal component analysis (PCA), the MCA technique is more appropriate for discrete variables.
However, because the Pearson coefficient is more appropriate for continuous variables, it is used in the graph when both coefficients are given.
When we apply this statistic to our data we get results which indicate that the CLT model is more appropriate for the variable than is a Gaussian model, even after the transformation of the data.
However, often health services production process are not linear, and thus it may be more appropriate to assume variable returns to scale (VRS).
The strategic decisions are made for a long term; thus, it is more satisfactory and more appropriate when the decision variables are considered uncertain and fuzzy, because it is more flexible and near to the real world.
In such cases, it is more appropriate to neglect these variables in the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com