Testing for spherical symmetry via the empirical characteristic function

DOI10.1080/02331888.2013.832764zbMath1304.62080OpenAlexW2032272815MaRDI QIDQ2934858

Simos G. Meintanis, Zdeněk Hlávka, Norbert Henze

Publication date: 22 December 2014

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2013.832764

zbMATH Keywords

spherical symmetryempirical characteristic functiongoodness-of-fitconditional Monte Carlo test

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (12)

Tests for circular symmetry of complex-valued random vectors ⋮ Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution ⋮ Testing serial independence with functional data ⋮ Nonparametric probability weighted empirical characteristic function and applications ⋮ Testing exchangeability of multivariate distributions ⋮ Empirical characteristic function tests for GARCH innovation distribution using multipliers ⋮ Testing for spherical and elliptical symmetry ⋮ Testing First-Order Spherical Symmetry of Spatial Point Processes ⋮ Tests for conditional ellipticity in multivariate GARCH models ⋮ Testing axial symmetry by means of directional regression quantiles ⋮ Testing symmetry around a subspace ⋮ Self-consistency-based tests for bivariate distributions

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