Tests of symmetry based on transformed empirical processes
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Publication:2714933
DOI10.2307/3315919zbMath0966.62028OpenAlexW1980009526MaRDI QIDQ2714933
Enrique M. Cabaña, Alejandra Cabaña
Publication date: 26 July 2001
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/5dd0644dc8b37192b390751e6ba0af84fc8fdcbe
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Order statistics; empirical distribution functions (62G30)
Related Items (5)
Testing symmetry in nonparametric regression models ⋮ Some count-based nonparametric tests for circular symmetry of a bivariate distribution ⋮ Testing for symmetries in multivariate inverse problems ⋮ A new way of quantifying the symmetry of a random variable: estimation and hypothesis testing ⋮ Testing symmetry of a nonparametric bivariate regression function
Cites Work
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- Asymptotics in statistics: some basic concepts
- Transformations of the empirical measure and Kolmogorov-Smirnov tests
- Transformed empirical processes and modified Kolmogorov-Smirnov tests for multivariate distributions
- A characterization of and new consistent tests for symmetry
- A Test for Symmetry Using the Sample Distribution Function
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