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CPS1972 Livio Corain et al.
derived from dominance in pairwise comparisons. In red female population
(F), in blue male population (M), in green freemartin population (FM)

4. Discussion and Conclusion
As an extension of the permutation and combination-based testing
methodology (Bonnini et al., 2014; Corain and Salmaso, 2015), the main goal
of this paper is to propose a multi-aspect testing and ranking method to
support shape analysis of cytomorphometric data under multivariate
directional alternatives. The main advantage of the proposed multivariate
inferential approach is in that it allows to separately analyse in either all-in-
one or each brain layer, two distributional aspects, i.e. the mean (inference on
location), and the variance (inference on scatter). Distinctly for each domain
(size, regularity and density), it turns out that the data analytics we propose is

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