Linear discrimination for three-level multivariate data with a separable additive mean vector and a doubly exchangeable covariance structure

DOI10.1016/j.csda.2011.10.007zbMath1243.62094OpenAlexW2083035114MaRDI QIDQ434937

Anuradha Roy, Ricardo Leiva

Publication date: 16 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.10.007

zbMATH Keywords

maximum likelihood estimatesadditive mean structurelinear discriminant function

Mathematics Subject Classification ID

Related Items (7)

Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure ⋮ Linear discrimination for multi-level multivariate data with separable means and jointly equicorrelated covariance structure ⋮ Supervised classifiers for high-dimensional higher-order data with locally doubly exchangeable covariance structure ⋮ Self similar compound symmetry covariance structure ⋮ Classification of Higher-order Data with Separable Covariance and Structured Multiplicative or Additive Mean Models ⋮ Testing the hypothesis of a doubly exchangeable covariance matrix ⋮ Testing the equality of mean vectors for paired doubly multivariate observations in blocked compound symmetric covariance matrix setup

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