Classification Rules for Multivariate Repeated Measures Data with Equicorrelated Correlation Structure on Both Time and Spatial Repeated Measurements

DOI10.1080/03610926.2010.530369zbMath1319.62130OpenAlexW2007689393MaRDI QIDQ3168542

Anuradha Roy, Ricardo Leiva

Publication date: 31 October 2012

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2010.530369

zbMATH Keywords

maximum likelihood estimatescovariance structurerepeated observations

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)

Uses Software

• SAS/STAT

Cites Work

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• Analysis of multivariate longitudinal data using quasi-least squares
• Estimating and Testing a Structured Covariance Matrix for Three-Level Multivariate Data
• On a classification rule for multiple measurements
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Scheffés mixed model for multivariate repeated measures:a relative efficiency evaluation
• Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix
• Modeling the correlation structure of data that have multiple levels of association
• General class of covariance structures for two or more repeated factors in longitudinal data analysis

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