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Good agreement of the predicted deposition velocities with the experimental data and the empirical equation is observed.
A non-linear regression analysis has been carried out using these experimental data and the empirical correlations are presented.
In Table 1, we present the numbers of SNPs in the observed data surpassing various nominal thresholds for α within and external to genes, the mean and the standard deviations of the same from the permuted data, and the empirical P-values (two tailed) for the null distribution in the observed data set.
The proposed model has been validated by comparing the available experimental data and the empirical models, and has been used to re-interpret the Kozeny Carman's relation in particular.
Section 3 introduces the data and the empirical model.
In the next section the data and the empirical strategy are illustrated.
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Section 2 provides a description of the data and illustrates the empirical specification and identification strategy.
Section 2 describes the data and presents the empirical findings.
The frameworks developed in recent decades, the data gathered, and the empirical testing done have been useful and have advanced the profession's understanding of macroeconomic processes.
The remainder of this paper is organized as follows: Section two describes the data set and the empirical strategy, in section three the regression results are presented and the final section discusses the results and draws some conclusions.
Furthermore, the identification of possible biases is a crucial point: Normative interests can lead to bias in the interpretation of the empirical data, and the state of empirical research may lead to a bias in the formulation of the normative 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