Testing symmetry around a subspace
From MaRDI portal
Publication:2062398
DOI10.1007/s00362-020-01201-4zbMath1482.62062OpenAlexW3048306673MaRDI QIDQ2062398
Miroslav Šiman, Šárka Hudecová
Publication date: 27 December 2021
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-020-01201-4
Hypothesis testing in multivariate analysis (62H15) Measures of association (correlation, canonical correlation, etc.) (62H20)
Related Items (3)
Testing axial symmetry by means of integrated rank scores ⋮ Testing exchangeability of multivariate distributions ⋮ Testing axial symmetry by means of directional regression quantiles
Uses Software
Cites Work
- Optimal rank-based testing for principal components
- A simple nonparametric test for bivariate symmetry about a line
- The meta-elliptical distributions with given marginals
- The effects of nonnormality on tests for dimensionality in canonical correlation and MANOVA models
- Copula-based measures of reflection and permutation asymmetry and statistical tests
- Estimators of the multiple correlation coefficient: local robustness and confidence intervals
- A simple test for multivariate conditional symmetry
- Inferences on correlation coefficients in some classes of nonnormal distributions
- Testing axial symmetry by means of directional regression quantiles
- \(M\)-functionals of multivariate scatter
- Multivariate quantiles and multiple-output regression quantiles: from \(L_{1}\) optimization to halfspace depth
- Fast algorithms for the calculation of Kendall's \(\tau\)
- The effects of nonnormality on asymptotic distributions of some likelihood ratio criteria for testing covariance structures under normal assumption
- Methods of Multivariate Analysis
- Copula Structure Analysis
- Testing for spherical symmetry via the empirical characteristic function
- Robustness and efficiency properties of scatter matrices
- Asymptotic distributions in canonical correlation analysis and other multivariate procedures for nonnormal populations
- A multivariate generalization of the power exponential family of distributions
- Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution
- Some count-based nonparametric tests for circular symmetry of a bivariate distribution
- A nonparametric test for bivariate symmetry
This page was built for publication: Testing symmetry around a subspace
