Multivariate multi-sample tests for location based on data depth

DOI10.1080/00949655.2019.1667359OpenAlexW2977214519MaRDI QIDQ5107528

Atul Rajaram Chavan, Digambar T. Shirke

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1667359

zbMATH Keywords

permutation testnonparametric testsdata depthlocation difference

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Sign depth tests in multiple regression

Uses Software

• MNM

Cites Work

• On a notion of data depth based on random simplices
• Multivariate nonparametric methods with R. An approach based on spatial signs and ranks.
• Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
• General notions of statistical depth function.
• A nonparametric multivariate multisample test based on data depth
• New nonparametric tests of multivariate locations and scales using data depth
• AFFINE-EQUIVARIANT SPATIAL MEDIAN AND ITS USE IN THE MULTIVARIATE MULTI-SAMPLE LOCATION PROBLEM
• Control Charts for Multivariate Processes
• On Maximum Depth and Related Classifiers
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