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Correspondence analysis (CA) is an effective method to show the relationship among multiple categorical variables by a statistical procedure.
To control for effects of influential points, we repeated all analyses excluding influential observations by a statistical procedure proposed by Belsey et al. (2005).
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The objective of this work was to optimize a novel potential colonic drug delivery system by using a statistical procedure.
The challenging aspect of the approach proposed in this work relies in the quality evaluation of virtual prototypes of new industrial products (i.e. concept designs) by adopting a statistical procedure previously applied to service industries.
These complex structures are selected by using a statistical procedure that we developed called 'grouping'grouping
In this system, which we call an affinity evaluation and prediction (AEP) system, first a "round robin" shape complementarity search is executed for the target protein group, and then the interaction between the proteins is evaluated based on complex structures determined by using a statistical procedure that we developed called 'grouping'grouping
The effective shear strain in each soil layer is evaluated by means of a statistical procedure in which the mean peak shear strain is computed in terms of its standard deviation and the corresponding peak factor.
A novel method based on the application of the Eckmann-Ruelle matrices is proposed here to estimate Lyapunov exponents by using noise in a statistical procedure.
By avoiding the bias inherent in those studies employing manual ROIs and allowing the application of a statistical procedure, by depicting regional brain differences with good spatial resolution and by affording more definitive conclusions than single VBM studies, ALE is considered the most sophisticated and best-validated method of coordinate-based voxel-wise meta-analysis [ 61, 62].
This visual observation is also supported by a simple statistical procedure.
Both system and controller neural structures are first selected off-line by a statistical Bayesian procedure in order to make the predictive control minimizing process more efficient.
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