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Fig. 3 Bivariate plot of multivariate output showing the relationships between early mission period (circles) and late mission period (squares) populations.
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Many mathematical and computational models used in engineering produce multivariate output that shows some degree of correlation.
Only the multivariate test for overall female reproductive output showed significant difference between size classes (MANOVA: size, Pillai = 3.50, P = 0.013: Supplementary Table S1).
Interestingly, VII output showed a broadening of the phase of activity relative to cervical output.
Models with multivariate output are often used in practical structural systems.
In this paper, the distance correlation, which can measure the dependence between random vectors, is utilized for multivariate GSA for structural systems with multivariate output.
In this paper, Polynomial Chaos Expansion (PCE) is used for an efficient GSA with multivariate output.
Dynamic system simulations require relating the inputs to the multivariate output which can be a function of time space coordinates.
Mathematical and computational models with correlated multivariate output are commonly used for risk assessment and decision support in engineering.
The distance correlation based sensitivity index not only considers the whole probability distribution of multivariate output but also can be easily estimated with only a single set of input output samples.
Table 2 presents multivariate analyses showing independent predictors of survival.
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CEO of Professional Science Editing for Scientists @ prosciediting.com