Kozioł, Arkadiusz; Roy, Anuradha; Zmyślony, Roman; Leiva, Ricardo; Fonseca, Miguel Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure. (English) Zbl 1376.62035 Linear Algebra Appl. 535, 87-104 (2017). Summary: The article addresses the best unbiased estimators of doubly exchangeable covariance structure, an extension of block exchangeable covariance structure, for three-level multivariate data. Under multivariate normality, the free-coordinate approach is used to obtain linear and quadratic estimates for the model parameters that are unbiased, sufficient, complete and consistent. Data from a clinical trial study is analyzed to illustrate the application of the obtained results. Cited in 1 Document MSC: 62H12 Estimation in multivariate analysis 62J10 Analysis of variance and covariance (ANOVA) 62P10 Applications of statistics to biology and medical sciences; meta analysis Keywords:best unbiased estimator; doubly exchangeable covariance structure; three-level multivariate data; coordinate free approach; unstructured mean vector PDF BibTeX XML Cite \textit{A. Kozioł} et al., Linear Algebra Appl. 535, 87--104 (2017; Zbl 1376.62035) Full Text: DOI OpenURL References: [1] Coelho, C. A.; Roy, A., Testing the hypothesis of a doubly exchangeable covariance matrix for elliptically contoured distributions, (2014), College of Business, The University of Texas at San Antonio, Working Paper No. 0002MSS-253-2014 [2] Fonseca, M.; Mexia, J. T.; Zmyślony, R., Least squares and generalized least squares in models with orthogonal block structure, J. Statist. Plann. 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