Efficiency of some tests when testing symmetry hypothesis

DOI10.1080/10485250601162468zbMath1116.62047OpenAlexW2086161505MaRDI QIDQ5297088

Noureddine Berrahou, Djamal Louani

Publication date: 18 July 2007

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250601162468

zbMATH Keywords

histogramlarge deviationskerneldensity estimationsymmetry testBahadur slope

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15) Large deviations (60F10) Asymptotic properties of parametric tests (62F05)

Related Items (4)

Moderate Deviations Results for a Symmetry Testing Statistic Based on the Kernel Density Estimator for Directional Data ⋮ Asymptotic normality of two symmetry test statistics based on the \(L_1\)-error ⋮ Rothman-Woodroofe symmetry test statistic revisited ⋮ Large deviations theorems in nonparametric regression on functional data

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• On a Cramer-von Mises-Type Statistic for Testing Symmetry
• Testing Symmetry
• A Cramer Von-Mises Type Statistic for Testing Symmetry
• On Testing the Symmetry of Distributions
• A Useful Convergence Theorem for Probability Distributions

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