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This C- overline{v}) relationship C- overline{v}nted by a statistical linearelationship
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In this paper we show that it is possible to develop a unified approach by recognizing that a statistical linear inverse structure arises when attempting to perform inference for any network-based model.
The system of non-linear equations is replaced by a statistical equivalent linear system.
The nonlinear function is then approximated by performing statistical linear regression between these points.
Differential gene expression between the different conditions was assessed by statistical linear model analysis using bioconductor package, limma, in which an empirical Bayes method is used to moderate the standard errors of the estimated log-fold changes of gene expression (http://www.bioconductor.org/packages/release/bioc/html/limma.html).
Finally, by means of a statistical analysis, linear coefficients that relate the average absorption coefficient and porosity were determined.
29 Statistical linear trend was examined by modelling the median value of each quartile as an ordinal variable in a linear regression.
Color crosstalk in STORM images can be reduced by using a statistical analysis equivalent to linear un-mixing in conventional fluorescence images, as described previously.
In summary, this study demonstrates that analyzing temporal characteristics of the entire fMRI time series is essential for second-level selection and interpretation of S-ROIs initially defined by an overall linear statistical measure.
The (approximate) optimal nonlinear tuned mass damper is defined as the system, which by statistical linearization identifies an optimal equivalent linear tuned mass damper.
Surface-based regions of interest (S-ROIs) were initially identified by thresholding a linear statistical measure of signal-to-noise ratio of periodic response.
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