A nonparametric test for bivariate circular symmetry based on the empirical cdf

DOI10.1080/03610927708827484zbMath0355.62039OpenAlexW2164169730MaRDI QIDQ4127192

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Publication date: 1977

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610927708827484

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15) Exact distribution theory in statistics (62E15)

Related Items (4)

Some count-based nonparametric tests for circular symmetry of a bivariate distribution ⋮ Testing for bivariate spherical symmetry ⋮ Testing for spherical and elliptical symmetry ⋮ Estimating the distribution function of symmetric pairs

Cites Work

• Unnamed Item
• A Cramer Von-Mises Type Statistic for Testing Symmetry
• K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
• Goodness-of-fit tests on a circle
• A Note on Uniform Convergence of Stochastic Processes
• Convergence Criteria for Multiparameter Stochastic Processes and Some Applications
• Significance Test for Sphericity of a Normal $n$-Variate Distribution
• An Explicit Representation of a Stationary Gaussian Process

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