Symmetrically Dependent Models Arising in Visual Assessment Data

DOI10.1111/j.0006-341X.2000.01188.xzbMath1060.62675OpenAlexW2004294846WikidataQ30633683 ScholiaQ30633683MaRDI QIDQ4670479

Ingram Olkin, Marlos A. G. Viana

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.01188.x

zbMATH Keywords

covariance structuremultivariate normal distributionpermutation symmetry

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Hypothesis testing in multivariate normal models with block circular covariance structures ⋮ A note on skew-elliptical distributions and linear functions of order statistics ⋮ Distribution and moments of the vector of the maximum of two absolutely continuous random vectors ⋮ Symmetrically Dependent Models Arising in Visual Assessment Data ⋮ Marginal permutation invariant covariance matrices with applications to linear models ⋮ Correlation analysis of ordered symmetrically dependent observations and their concomitants of order statistics ⋮ Modeling maxima of longitudinal contralateral observations

Cites Work

• Symmetrically Dependent Models Arising in Visual Assessment Data
• Testing Compound Symmetry in a Normal Multivariate Distribution
• Sample Criteria for Testing Equality of Means, Equality of Variances, and Equality of Covariances in a Normal Multivariate Distribution

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