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Fig. 2 | Applied Informatics

Fig. 2

From: A new multivariate test formulation: theory, implementation, and applications to genome-scale sequencing and expression

Fig. 2

A vectorial statistics view on the existing multivariate tests. a Univariate tests implemented for identifying whether a statistics \(\tilde{s}\) leads to the rejection of \(H_0\) in a significant level \({\alpha}\); b Univariate tests implemented for computing the p value, i.e. the probability that those false alarms disturb or confuse the judgement on \(\tilde{s}\); c In the two-dimensional space of \(\mathbf{s}\), the acceptance domain is an ellipse (grey coloured) specified by Eq. (3), corresponding to the acceptance range of (a, b), while the rest of the entire space is the rejection domain

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