On a Cramer-von Mises-Type Statistic for Testing Symmetry
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Publication:3906921
DOI10.2307/2287405zbMath0457.62036OpenAlexW4213244370MaRDI QIDQ3906921
Publication date: 1980
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2287405
Nonparametric hypothesis testing (62G10) Brownian motion (60J65) (Generalized) eigenfunction expansions of linear operators; rigged Hilbert spaces (47A70) Integral, integro-differential, and pseudodifferential operators (47Gxx)
Related Items (5)
Efficiency of some tests when testing symmetry hypothesis ⋮ Tests of symmetry derived as components of pearson's phi-squared distance measure ⋮ Tests for Symmetry Based on the One-Sample Wilcoxon Signed Rank Statistic ⋮ Estimators of location based on Kolmogorov-Smirnov-type statistics ⋮ A note on testing symmetry with estimated parameters
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