Distributions of the Largest Singular Values of Skew-Symmetric Random Matrices and their Applications to Paired Comparisons
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Publication:3585255
DOI10.1080/03610920802361399zbMath1318.62169arXiv1003.2711OpenAlexW2148373285MaRDI QIDQ3585255
Publication date: 19 August 2010
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1003.2711
Multivariate distribution of statistics (62H10) Hypothesis testing in multivariate analysis (62H15) Random matrices (probabilistic aspects) (60B20) Applications of statistics (62P99) Paired and multiple comparisons; multiple testing (62J15)
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Cites Work
- Unnamed Item
- A generalized Cauchy-Binet formula and applications to total positivity and majorization
- Some recent developments on complex multivariate distributions
- Tail probabilities of the maxima of multilinear forms and their applications.
- On the equivalence of the tube and Euler characteristic methods for the distribution of the maximum of Gaussian fields over piecewise smooth domains
- Defining the pattern of association in two-way contingency tables
- Distribution of the Largest or the Smallest Characteristic Root Under Null Hypothesis Concerning Complex Multivariate Normal Populations
- A Test for Reality of a Covariance Matrix in a Certain Complex Gaussian Distribution
- An Analysis of a Two-Way Model with Interaction and No Replication
- Linear Statistical Inference and its Applications
- Distributions of Matrix Variates and Latent Roots Derived from Normal Samples
- An Analysis of Variance for Paired Comparisons
- Normal Multivariate Analysis and the Orthogonal Group
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