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14-18 August 2017
Uppsala University
Europe/Stockholm timezone

Best Unbiased Estimators for Doubly Multivariate Data

15 Aug 2017, 16:30
30m
Ångströmslaboratoriet (Uppsala University)

Ångströmslaboratoriet

Uppsala University

Speaker

Speaker

Mr Arkadiusz Kozioł (Faculty of Mathematics, Computer Science and Econometrics University of Zielona Góra, Szafrana 4a, 65-516 Zielona Góra, Poland)

Description

The article addresses the best unbiased estimators of the block compound symmetric covariance structure for m-variate observations with equal mean vector over each level of factor or each time point (model with structured mean vector). Under multivariate normality, the free-coordinate approach is used to obtain unbiased linear and quadratic estimates for the model parameters. Optimality of these estimators follows from sufficiency and completeness of their distributions. Additionally, strong consistency is proven. The properties of the estimators in the proposed model are compared with the ones in the model with unstructured mean vector (the mean vector changes over levels of factor or time points).

Primary authors

Mr Arkadiusz Kozioł (Faculty of Mathematics, Computer Science and Econometrics University of Zielona Góra, Szafrana 4a, 65-516 Zielona Góra, Poland) Dr Miguel Fonseca (Centro de Matemática e Aplicações Universidade Nova de Lisboa Monte da Caparica, 2829-516 Caparica, Portugal) Ricardo Leiva (Departamento de Matemática F.C.E., Universidad Nacional de Cuyo, 5500 Mendoza, Argentina) Prof. Roman Zmyślony (Faculty of Mathematics, Computer Science and Econometrics University of Zielona Góra, Szafrana 4a, 65-516 Zielona Góra, Poland)

Co-author

Prof. Anuradha Roy (Department of Management Science and Statistics The University of Texas at San Antonio San Antonio, TX 78249, USA)

Presentation Materials

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