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Your search keyword '"Szczepańska-Álvarez, Anna"' showing total 3 results
Start Over Author "Szczepańska-Álvarez, Anna" Topic multivariate analysis
3 results on '"Szczepańska-Álvarez, Anna"'

1. Application of the ρV coefficient and distance correlation to the analysis of multivariate association.

Author

Janiszewska, Malwina, Szczepańska-Álvarez, Anna, and Zawieja, Emilia

Subjects
*STATISTICAL correlation, *MULTIVARIATE analysis
Abstract

The aim of this paper is to study the association between two random vectors related to two groups of characteristics. To analyze the multivariate association, the ρV coefficient and distance correlation are used. Two methods (classical and recent) are compared and illustrated with real data. [ABSTRACT FROM AUTHOR]

Published
2021
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2. Application of the ρV coefficient and distance correlation to the analysis of multivariate association.

Author

Janiszewska, Malwina, Szczepańska-Álvarez, Anna, and Zawieja, Emilia

Subjects
*STATISTICAL correlation, *MULTIVARIATE analysis
Abstract

The aim of this paper is to study the association between two random vectors related to two groups of characteristics. To analyze the multivariate association, the ρV coefficient and distance correlation are used. Two methods (classical and recent) are compared and illustrated with real data. [ABSTRACT FROM AUTHOR]

Published
2020
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3. Estimation equations for multivariate linear models with Kronecker structured covariance matrices.

Author

Szczepańska-Álvarez, Anna, Hao, Chengcheng, Liang, Yuli, and Rosen, Dietrich von

Subjects
*COVARIANCE matrices, *ESTIMATION theory, *MULTIVARIATE analysis, *LINEAR statistical models, *MAXIMUM likelihood statistics
Abstract

The aim of the paper is to determine maximum-likelihood estimation equations. Observations follow a multivariate normal distribution,, where,anddescribe the unknown covariance structure between rows and columns of, respectively. Imposing restrictions onandfour types of covariance structures will be considered. [ABSTRACT FROM AUTHOR]

Published
2017
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