On Test Statistics in Profile Analysis with High-dimensional Data

DOI10.1080/03610918.2014.953686zbMath1352.62079OpenAlexW2071256605MaRDI QIDQ2828780

Takashi Seo, Mizuki Onozawa, Takahiro Nishiyama

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.953686

zbMATH Keywords

high-dimensional dataprofile analysisBehrens-Fisher problemDempster trace criterionHotelling's \(T^2\)-type statistic

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

Profile analysis in high dimensions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A two sample test in high dimensional data
• Testing linear hypotheses of mean vectors for high-dimension data with unequal covariance matrices
• On methods in the analysis of profile data
• A two-sample test for high-dimensional data with applications to gene-set testing
• A test for the mean vector with fewer observations than the dimension
• Note on a solution of the generalized Behrens-Fisher problem
• Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size
• Methods of Multivariate Analysis
• A Two Sample Test for Mean Vectors with Unequal Covariance Matrices
• Two-Stage Procedures for High-Dimensional Data
• The exact distributions of the univariate and multivariate behrens-fisher statistics with a comparison of several solutions in the univariate case
• Asymptotic Results of a High Dimensional MANOVA Test and Power Comparison When the Dimension is Large Compared to the Sample Size
• A Significance Test for the Separation of Two Highly Multivariate Small Samples
• A High Dimensional Two Sample Significance Test
• Three Approximate Solutions to the Multivariate Behrens–Fisher Problem
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
• On Solutions of the Behrens-Fisher Problem, Based on the $t$-Distribution

This page was built for publication: On Test Statistics in Profile Analysis with High-dimensional Data