Tests for symmetry about an unknown value based on the empirical distribution function

DOI10.1080/03610928308828643zbMath0538.62018OpenAlexW2155362208MaRDI QIDQ3324820

James A. Koziol

Publication date: 1983

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

Full work available at URL: https://doi.org/10.1080/03610928308828643

zbMATH Keywords

likelihood ratio testgoodness-of-fitBahadur efficiencyempirical distribution functionsefficiency comparisonKolmogorov-Smirnovtesting symmetrylinear rank statisticsasymptotic significance levelcovariance kernelCramér-von Mises type statisticsmodified Wilcoxon statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03)

Related Items (6)

A NONPARAMETRIC TEST OF SYMMETRY VERSUS ASYMMETRY FOR RANKED-SET SAMPLES ⋮ A Bootstrap Test for Symmetry of Dependent Data Based on a Kolmogorov–Smirnov Type Statistic ⋮ Efficiency of some tests when testing symmetry hypothesis ⋮ Moderate Deviations Results for a Symmetry Testing Statistic Based on the Kernel Density Estimator for Directional Data ⋮ Using the bootstrap in testing symmetry versus asymmetry ⋮ Testing circular symmetry

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