Accurate inference for repeated measures in high dimensions

DOI10.1214/19-EJS1644zbMath1434.62088OpenAlexW2994665426MaRDI QIDQ2283568

Publication date: 3 January 2020

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1575946866

zbMATH Keywords

asymptotic expansion quadratic form characteristic function multivariate test profile analysis covariance estimation

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Related Items (2)

Nonparametric methods for clustered data in pre-post intervention design ⋮ A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics

Cites Work

Unnamed Item
Unnamed Item
Distribution-free tests for no effect of treatment in heteroscedastic functional data under both weak and long range dependence
Rank test for heteroscedastic functional data
Two sample tests for high-dimensional covariance matrices
Asymptotic distributions of some test criteria for the mean vector with fewer observations than the dimension
Parametric and nonparametric bootstrap methods for general MANOVA
Asymptotic formulas for the distributions of three statistics for multivariate linear hypothesis
Some approximate tests for repeated measurement designs
Rank-score tests in factorial designs with repeated measures
A two-sample test for high-dimensional data with applications to gene-set testing
Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size
Methods of Multivariate Analysis
Estimation of Box's ε for low- and high-dimensional repeated measures designs with unequal covariance matrices
Inference for low- and high-dimensional multigroup repeated measures designs with unequal covariance matrices
An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis
Analysis of high-dimensional one group repeated measures designs
Box-Type Approximations in Nonparametric Factorial Designs
Rank-Based Procedures in Factorial Designs: Hypotheses About Non-Parametric Treatment Effects
Two-Sample Test of High Dimensional Means Under Dependence
Multi-sample test for high-dimensional covariance matrices
Inference from heteroscedastic functional data
Tests for parallelism and flatness hypotheses of two mean vectors in high-dimensional settings
Generalized Asymptotic Expansions of Cornish-Fisher Type
Conditions Under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions
Probability-1
Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
A matrix trace inequality
High-dimensional multivariate repeated measures analysis with unequal covariance matrices

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