Data depth-based nonparametric scale tests
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Publication:3087598
DOI10.1002/cjs.10099zbMath1274.62315OpenAlexW1999714334MaRDI QIDQ3087598
Shojaeddin Chenouri, Christopher G. Small, Thomas J. Farrar
Publication date: 16 August 2011
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.10099
Related Items (11)
A test based on data depth for testing location-scale of the two multivariate populations ⋮ Some multivariate goodness of fit tests based on data depth ⋮ Sign depth tests in multiple regression ⋮ Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis ⋮ A nonparametric multivariate multisample test based on data depth ⋮ Unnamed Item ⋮ Affine invariant depth-based tests for the multivariate one-sample location problem ⋮ Multidimensional medians and uniqueness ⋮ Power of depth-based nonparametric tests for multivariate locations ⋮ Halfspace depth does not characterize probability distributions ⋮ Data depth-based nonparametric tests for multivariate scales
Cites Work
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- Rank-Sum Tests for Dispersions
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- Some Extensions of the Wald-Wolfowitz-Noether Theorem
- Approximation Theorems of Mathematical Statistics
- A survey of nonparametric tests for scale
- The multivariate skew-normal distribution
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- A Quality Index Based on Data Depth and Multivariate Rank Tests
- Percentile Modifications of Two Sample Rank Tests
- Rank Tests of Dispersion
- A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA
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