Nonparametric multivariate rank tests and their unbiasedness
From MaRDI portal
Publication:408099
DOI10.3150/10-BEJ326zbMath1291.62095arXiv1203.0450OpenAlexW2109530652MaRDI QIDQ408099
Publication date: 29 March 2012
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1203.0450
Wilcoxon testcontiguityunbiasednessaffine invarianceKolmogorov-Smirnov testLehmann alternativesLiu-Singh testpsi testSavage testtwo-sample multivariate model
Related Items
A New Scale-Invariant Nonparametric Test for Two-Sample Bivariate Location Problem with Application, Interpoint distance tests for high-dimensional comparison studies, Testing for central symmetry and inference of the unknown center, Tests for comparison of multiple endpoints with application to omics data, Graphical Comparison of High‐Dimensional Distributions, Use of multivariate distance measures for high‐dimensional data in tests for difference, superiority, equivalence and non‐inferiority, Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis, Interpoint Distance Test of Homogeneity for Multivariate Mixture Models, Testing exchangeability of multivariate distributions, A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach, Multinomial interpoint distances, On the interpoint distances of Bernoulli vectors, Multivariate power series interpoint distances, Unified multivariate hypergeometric interpoint distances, Two-sample test in high dimensions through random selection, Detecting a structural change in functional time series using local Wilcoxon statistic, Unbiasedness and biasedness of the Jonckheere-Terpstra and the Kruskal-Wallis tests, A randomized Baumgartner statistic for multivariate two-sample testing hypothesis, Testing equality of functions under monotonicity constraints, Analysis of distance matrices, The minimum weighted covariance determinant estimator revisited, Power Comparison of Multivariate Wilcoxon-type Tests Based on the Jurečková–Kalina’s Ranks of Distances
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Permutation tests for directional data
- On a notion of data depth based on random simplices
- Multivariate nonparametric methods with R. An approach based on spatial signs and ranks.
- A multivariate two-sample test based on the number of nearest neighbor type coincidences
- Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
- Permutation tests for multivariate location problems
- On the efficiency of multivariate spatial sign and rank tests
- On a new multivariate two-sample test.
- On the multivariate runs test
- Reducing multidimensional two-sample data to one-dimensional interpoint comparisons
- Optimal tests for multivariate location based on interdirections and pseudo-Mahalanobis ranks.
- An example of a two-sided Wilcoxon signed rank test which is not unbiased
- On the limiting distributions of multivariate depth-based rank sum statistics and related tests
- An example of the two-sided Wilcoxon test which is not unbiased
- Biased and unbiased two-sided Wilcoxon tests for equal sample sizes
- Multivariate nonparametric tests
- The locally unbiased two-sided Durbin-Watson test
- Contributions to the Theory of Rank Order Statistics-the Two-Sample Case
- Multivariate Two-Sample Tests Based on Nearest Neighbors
- On a notion of simplicial depth
- Sign Tests in Multidimension: Inference Based on the Geometry of the Data Cloud
- An Approach to Multivariate Rank Tests in Multivariate Analysis of Variance
- Permutation tests for equality of distributions in high-dimensional settings
- Inference based on the affine invariant multivariate Mann–Whitney–Wilcoxon statistic
- Test of multivariate linear models using spatial concordances
- A Quality Index Based on Data Depth and Multivariate Rank Tests
- On Permutation Tests in Multiple Regression and Analysis of Covariance Problems
- An Exact Distribution-Free Test Comparing Two Multivariate Distributions based on Adjacency
- A Distribution Free Version of the Smirnov Two Sample Test in the $p$-Variate Case
- Multivariate Procedures Invariant Under Linear Transformations
- The Power of Rank Tests