Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size
type: Item
instance of: scholarly article
title: Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size
zbMATH Open document ID: 1328.62476
DOI: 10.1080/03610918.2012.762387
author: Masashi Hyodo
author: Sho Takahashi
author: Takahiro Nishiyama
publication date: 2014-08-18T00:00:00Z
Mathematics Subject Classification ID: 62J15
Mathematics Subject Classification ID: 62H10
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 6331011
zbMATH Keywords: asymptotic expansion
zbMATH Keywords: Bonferroni's inequality
zbMATH Keywords: comparisons with a control
zbMATH Keywords: Dempster trace criterion
zbMATH Keywords: high-dimensional data
zbMATH Keywords: Monte Carlo simulation
zbMATH Keywords: pairwise comparisons
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/03610918.2012.762387
OpenAlex ID: W2035617787
cites work: A High Dimensional Two Sample Significance Test
cites work: A Significance Test for the Separation of Two Highly Multivariate Small Samples
cites work: Asymptotic Results of a High Dimensional MANOVA Test and Power Comparison When the Dimension is Large Compared to the Sample Size
cites work: The extreme value of the generalized distances of the individual points in the multivariate normal sample
cites work: Testing the equality of several covariance matrices with fewer observations than the dimension
published in: Communications in Statistics. Simulation and Computation
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description: scientific article; zbMATH DE number 6331011