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A multivariate generalization of classical order statistics for random samples from a continuous multivariate distribution was defined by Corley [18].
This is further confirmed by the Hosking Multivariate Portmanteau (HM) and Lagrange Multiplier (LM) tests, which can be seen as the multivariate generalization of the former tests.
It is a multivariate generalization of the univariate Baskakov-Durrmeyer operators given in (1.2) and can be considered as a tool to approximate the function in.
and the bandwidth H derived from the multivariate generalization of Scott's rule of thumb for bandwidth selection as [17] H = L − 1 ( d + 4 ) × Co 1 2, (17).
Hotellings' T multivariate generalization of the univariate t value was used.
The multivariate generalization of the Gamma is a Wishart, characterized by a scale matrix.
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This is one of the multivariate generalizations of the pair-wise Kendall rank correlation coefficient studied by Joe ([1990], p. 21).
These tests are based on multivariate generalizations of Cauchy priors on standardized effects, and have the desirable properties of being invariant with respect to linear transformations of measurement units.
Motivated by (4.1), naturally, we have the following multivariate generalization.
The traditional methods for multi-way analysis are univariate multi-way ANOVA, and its multivariate generalization MANOVA.
In order to aggregate the regression coefficient estimates from different prediction models, we adopted a generalized least squares approach with non-linear terms (a sort of generalization of multivariate meta-analysis).
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