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A Robust High-Dimensional Test for Two-Sample Comparisons

A Robust High-Dimensional Test for Two-Sample Comparisons

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cf5697aba0be40cbab06c2f08f205a03

A Robust High-Dimensional Test for Two-Sample Comparisons

About this item

Full title

A Robust High-Dimensional Test for Two-Sample Comparisons

Publisher

Basel: MDPI AG

Journal title

Axioms, 2024-09, Vol.13 (9), p.585

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The Hotelling T2 statistic is used to compare the mean vectors of two independent multivariate Gaussian distributions. Nevertheless, this statistic is highly sensitive to outliers and is not suitable for high-dimensional datasets where the number of variables exceeds the sample size. This study introduces a robust permutation test based on the mini...

Alternative Titles

Full title

A Robust High-Dimensional Test for Two-Sample Comparisons

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cf5697aba0be40cbab06c2f08f205a03

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cf5697aba0be40cbab06c2f08f205a03

Other Identifiers

ISSN

2075-1680

E-ISSN

2075-1680

DOI

10.3390/axioms13090585

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