Geodesic
Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure and structured mean vector
Discussiones Mathematicae. Probability and Statistics, Tome 36 (2016) no. 1-2, pp. 93-113

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In this article author obtain the best unbiased estimators of doubly exchangeable covariance structure. For this purpose the coordinate free-coordinate approach is used. Considered covariance structure consist of three unstructured covariance matrices for three-level m-variate observations with equal mean vector over v points in time and u sites under the assumption of multivariate normality. To prove, that the estimators are best unbiased, complete statistics are used. Additionally, strong consistency is proven. Under the proposed model the variances of the estimators of covariance components are compared with the ones in the model in [11].
Keywords: best unbiased estimator, doubly exchangeable covariance structure, three-level multivariate data, coordinate free approach, structured mean vector 
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     author = {Kozio{\l}, Arkadiusz},
     title = {Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure and structured mean vector},
     journal = {Discussiones Mathematicae. Probability and Statistics},
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     year = {2016},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/DMPS_2016_36_1-2_a5/}
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Kozioł, Arkadiusz. Best unbiased estimates for parameters of three-level multivariate data with doubly exchangeable covariance structure and structured mean vector. Discussiones Mathematicae. Probability and Statistics, Tome 36 (2016) no. 1-2, pp. 93-113. http://geodesic.mathdoc.fr/item/DMPS_2016_36_1-2_a5/