A two-sample test for high-dimension, low-sample-size data under the strongly spiked eigenvalue model
type: Item
instance of: scholarly article
title: A two-sample test for high-dimension, low-sample-size data under the strongly spiked eigenvalue model
author: Aki Ishii
published in: Hiroshima Mathematical Journal
publication date: 2018-02-08T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.hmj/1509674448
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 34L20
zbMATH DE Number: 6836007
zbMATH Keywords: asymptotic distribution
zbMATH Keywords: distance-based two-sample test
zbMATH Keywords: HDLSS
zbMATH Keywords: noisereduction methodology
zbMATH Keywords: microarray data
MaRDI profile type: Publication
OpenAlex ID: W2775322700
Wikidata QID: Q128864858
DOI: 10.32917/HMJ/1509674448
description: scientific article; zbMATH DE number 6836007