A nonparametric multivariate multisample test based on data depth
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Publication:1950839
DOI10.1214/12-EJS692zbMath1336.62138MaRDI QIDQ1950839
Shojaeddin Chenouri, Christopher G. Small
Publication date: 28 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1336568105
Related Items (14)
A test based on data depth for testing location-scale of the two multivariate populations ⋮ Smoothed ranks for two or multi-sample location problems ⋮ A weighted localization of halfspace depth and its properties ⋮ Nonparametric tests for multivariate locations based on data depth ⋮ Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis ⋮ Nonparametric tests for multivariate multi-sample locations based on data depth ⋮ Multivariate multi-sample tests for location based on data depth ⋮ Penalty-based aggregation of multidimensional data ⋮ Tukey’s Depth for Object Data ⋮ Affine invariant depth-based tests for the multivariate one-sample location problem ⋮ Depth for curve data and applications ⋮ Intrinsic Data Depth for Hermitian Positive Definite Matrices ⋮ Data depth-based nonparametric tests for multivariate scales ⋮ Computing halfspace depth contours based on the idea of a circular sequence
Uses Software
Cites Work
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