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The relationship between current efficiency and the above-mentioned three factors was quantitatively described by a multivariate regression model.
The relationship between stripping peak current and the three factors was quantitatively described by a multivariate regression model through the RSM.
The two associated shape classes are represented in a lower dimensional manifold, and the reduced set of parameters obtained in this subspace is utilized in an estimation, which is exemplified by a multivariate regression in this paper.
and mechanical strength (UTS) to the heat treatments, performed on the coated Al 6061 alloy, was established by a multivariate regression analysis, which allows to find the best combination of the heat treatments and electrodeposition electrolytes for further composite coatings design and development.
For solution pH and DNOC accumulation time the optimization process considered only reduction current peak, while for SWV instrumental parameters (step, amplitude and frequency) both the relationship between current peak and standard deviation with the different factors were analysed, finally both designs were quantitatively described by a multivariate regression model through the RSM.
After descriptive analyses, we investigated by a multivariate regression analysis which factors were independently associated with the choice of different monitoring modalities.
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The analysis was concluded by completing a multivariate regression analysis on all factors that showed a significant relation with HPV in the univariate analysis.
By using a multivariate regression model, the incremental cost of the different characteristics of the births was calculated.
Allometric shape variation related to size was accounted for statistically by computing a multivariate regression of shape on size (see Materials and Methods for details).
This sum of absolute differences was estimated by fitting a multivariate regression model and using an LRT on 20° of freedom to test the overall difference between cases and controls over the hormone vector.
However, due to the fact that both scoring systems might potentially be outdated, we were able to support the suspected outcome benefits to HEMS patients by performing a multivariate regression, including multiple potential confounding factors.
More suggestions(16)
by a quadratic regression
by a multivariate design
by a multivariate method
by a nonlinear regression
by a multivariate study
by a mean regression
by a multiple regression
by a multivariate spherically
by a univariable regression
by a multivariate strategy
by a weighted regression
by a logistic regression
by a multivariate Laplace
by a multivariate clustering
by a penalized regression
by a multivariate skew
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