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Permutation tests for equality of distributions in high-dimensional settings

Date

Authors

Hall, Peter

Tajvidi, Nader

Publisher

Biometrika Trust

Abstract

Motivated by applications in high-dimensional settings, we suggest a test of the hypothesis H0 that two sampled distributions are identical. It is assumed that two independent datasets are drawn from the respective populations, which may be very general.

Keywords

Keywords: Bootstrap; Functional data analysis; Hypergeometric distribution; Hypothesis test; Local alternative; Multivariate analysis; Rank test; Resampling

URI

http://hdl.handle.net/1885/92319

Collections

ANU Research Publications

Source

Biometrika

Type

Journal article

DOI

10.1093/biomet/89.2.359

Restricted until

2037-12-31

Downloads

File

Description

01_Hall_Permutation_tests_for_equality_2002.pdf (166.86 KB)

02_Hall_Permutation_tests_for_equality_2002.pdf (166.86 KB)

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