On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence

DOI10.1016/j.jmva.2019.02.006zbMath1473.62186OpenAlexW2917087028WikidataQ128344797 ScholiaQ128344797MaRDI QIDQ2274935

Feifei Chen, Simos G. Meintanis, Li Xing Zhu

Publication date: 1 October 2019

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2019.02.006

zbMATH Keywords

characteristic functionsymmetry testingdistance correlationtwo-sample problemindependence testing

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Characterization and structure theory of statistical distributions (62E10)

Related Items (14)

Linear projections of joint symmetry and independence applied to exact testing treatment effects based on multidimensional outcomes ⋮ Tests for circular symmetry of complex-valued random vectors ⋮ Two-sample test for equal distributions in separate metric space: New maximum mean discrepancy based approaches ⋮ Testing serial independence with functional data ⋮ A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families ⋮ Use of Random Integration to Test Equality of High Dimensional Covariance Matrices ⋮ Testing for diagonal symmetry based on center-outward ranking ⋮ Tests for symmetry based on the integrated empirical process ⋮ Test for diagonal symmetry in high dimension ⋮ Change-point methods for multivariate time-series: paired vectorial observations ⋮ A Szekely-Rizzo inequality for testing general copula homogeneity hypotheses ⋮ Empirical likelihood test for diagonal symmetry ⋮ Tests for validity of the semiparametric heteroskedastic transformation model ⋮ Fourier-type tests of mutual independence between functional time series

Uses Software

• energy
• IndependenceTests

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