Testing for bivariate spherical symmetry

DOI10.1007/s11749-011-0235-5zbMath1259.62029OpenAlexW3021762998MaRDI QIDQ1944366

Maria Gantner, John H. J. Einmahl

Publication date: 5 April 2013

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://pure.uvt.nl/ws/files/1250932/2010-71.pdf

zbMATH Keywords

asymptotic distributionhypothesis testempirical likelihooddistribution free

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items

Testing for spherical symmetry via the empirical characteristic function, Some count-based nonparametric tests for circular symmetry of a bivariate distribution, Tests for conditional ellipticity in multivariate GARCH models, Self-consistency-based tests for bivariate distributions

Cites Work

• Multivariate Archimedean copulas, \(d\)-monotone functions and \(\ell _{1}\)-norm symmetric distributions
• Some necessary uniform tests for spherical symmetry
• Testing of spherical symmetry of a multivariate distribution.
• Uniform distributions on spheres in finite dimensional \(L_\alpha\) and their generalizations
• Empirical likelihood based hypothesis testing
• The intersection of random spheres and the noncentral radial error distribution for spherical models
• Testing for spherical symmetry of a multivariate distribution
• Elliptically Symmetric Distributions: A Review and Bibliography
• A nonparametric test for bivariate circular symmetry based on the empirical cdf
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