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Considerable effect of chip cross section on multivariate form of surface roughness is given by Andrews' plot.
Four ways of results' interpretation are expressed which include individual measured values, comparison, relationship as well as multivariate form of measured data.
In this paper, we describe how this issue can be addressed in a simple and efficient manner using the multivariate form of the familiar general linear model (GLM), as implemented in a new MATLAB toolbox.
We propose to replace the standard 'decoding' approach to searchlight-based MVPA, measuring the performance of a classifier by its accuracy, with a method based on the multivariate form of the general linear model.
However, this situation lends itself to a multivariate form of analysis.
We assumed the general multivariate form of normal density function, where mean and covariance of the PDF are estimated by means of training samples.
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The choice of the optimal lag lengths of the variables was determined by the multivariate forms of the Akaike Information Criterion (AIC) and the Schwartz Criterion (SC).
In this section, based on the criteria for (mathcal{H} -tensors in Section 2, we present some criteria for identifying tH} -tensors definiteneSectionn even-order real symmetric tensor (the positive definiteness of a multivariate form).
However, for (n> 3) and (m> 4), it is a hard problem to identify the positive definiteness of such a multivariate form.
In multivariate analyses, this form of evidence planting was positively associated with midazolam use (Adjusted Odds Ratio [AOR] = 2.84; 95% Confidence Interval [CI]: 1.58 - 5.11), recent non-fatal overdose (AOR = 2.56; 95%CI: 1.40 - 4.66), syringe lending (AOR = 2.08; 95%CI: 1.19 - 3.66), and forced drug treatment (AOR = 1.88; 95%CI: 1.05 - 3.36).
The general form of multivariate trend analysis is given as [5, 41].
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