Discrimination with jointly equicorrelated multi-level multivariate data

DOI10.1007/s11634-007-0013-0zbMath1182.62142OpenAlexW2092898571MaRDI QIDQ1042623

Anuradha Roy, Ricardo Leiva

Publication date: 14 December 2009

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-007-0013-0

zbMATH Keywords

maximum likelihood estimatesjointly equicorrelated covariance structuremultivariate repeated measures dataclassification rule

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (11)

Linear Models with Doubly Exchangeable Distributed Errors ⋮ 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 ⋮ Linear discrimination for three-level multivariate data with a separable additive mean vector and a doubly exchangeable covariance structure ⋮ Testing a block exchangeable covariance matrix ⋮ Self similar compound symmetry covariance structure ⋮ Estimating and Testing a Structured Covariance Matrix for Three-Level Multivariate Data ⋮ Classification of Higher-order Data with Separable Covariance and Structured Multiplicative or Additive Mean Models ⋮ Testing the hypothesis of a doubly exchangeable covariance matrix ⋮ Classification rules for triply multivariate data with an AR(1) correlation structure on the repeated measures over time

Cites Work

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• Bayesian object identification: variants
• Linear discrimination with equicorrelated training vectors
• On discrimination and classification with multivariate repeated measures data
• On a classification rule for multiple measurements
• Classification of multiply observed data
• Antedependence models in the analysis of multi-group high-dimensional data
• An Inverse Matrix Adjustment Arising in Discriminant Analysis
• Classification Based on Multivariate Repeated Measures with Time Effect on Mean Vector and an AR (1) Correlation Structure on the Repeated Measures

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