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We probed the data using several statistical approaches and came up with the same result.
To cope with these data uncertainties, several statistical approaches are developed.
Several statistical approaches to describe the effect of an increase in analytical amount are studied.
This paper addresses the problem of the prediction of such two pollutants, using to this end several statistical approaches.
Several statistical approaches involving Plackett Burman designs and response surface methodology (RSM) have created a potential for optimization of enzyme production (Reddy et al. 2008).
In this paper, we explore the usefulness of several statistical approaches for addressing the second and third points above.
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Several statistical modeling approaches have been developed in recent years to respond to this basic operational demand.
We analyzed the numbers using several different statistical approaches, and we arrived at similar conclusions regardless of which method we used.
The performance obtained with this architecture overcomes several standard statistical approaches and neural network models reported in the literature by various researchers.
In this study, we used several multivariate statistical approaches to analyze the metabolites present in the liquid phase (fecal water) of the same fecal samples examined earlier [17].
Using several different statistical approaches, our selection strategy for informative markers allowed us to identify a manageable number of potentially useful and robust biomarkers for laboratory validation as well as replication in independent samples.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com