Inference for the mean of large \(p\) small \(n\) data: a finite-sample high-dimensional generalization of Hotelling's theorem
type: Item
instance of: scholarly article
title: Inference for the mean of large \(p\) small \(n\) data: a finite-sample high-dimensional generalization of Hotelling's theorem
zbMATH Open document ID: 1293.62126
DOI: 10.1214/13-EJS833
author: Aymeric Stamm
author: Simone Vantini
author: Piercesare Secchi
published in: Electronic Journal of Statistics
publication date: 2013-08-09T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1375708877
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 62H10
zbMATH DE Number: 6197157
zbMATH Keywords: large \(p\) small \(n\) data
zbMATH Keywords: high-dimensional data
zbMATH Keywords: Hotelling's theorem
zbMATH Keywords: inference for the mean
zbMATH Keywords: MANOVA
describes a project that uses: R
describes a project that uses: fda (R)
MaRDI profile type: Publication
cites work: The control of the false discovery rate in multiple testing under dependency.
cites work: Nonparametric functional data analysis. Theory and practice.
cites work: Q5449210
cites work: Testing Statistical Hypotheses
cites work: Finite-sample consistency of combination-based permutation tests with application to repeated measures designs
cites work: Distances and inference for covariance operators
cites work: Functional data analysis.
cites work: Q5645536
cites work: Approximation theorems of mathematical statistics
cites work: Multivariate Theory for Analyzing High Dimensional Data
cites work: Testing the equality of several covariance matrices with fewer observations than the dimension
cites work: The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
description: scientific article; zbMATH DE number 6197157