Properties of an MLE algorithm for the multivariate linear model with a separable covariance matrix structure Cover

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Properties of an MLE algorithm for the multivariate linear model with a separable covariance matrix structure

Biometrical Letters

Volume 58 (2021): Issue 1 (June 2021)

By: Anna Szczepańska-Álvarez, Bogna Zawieja and Adolfo Álvarez

Open Access

|Jun 2021

Authors

Anna Szczepańska-Álvarez

anna.szczepanska-alvarez@up.poznan.pl

Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań, Poland

Bogna Zawieja

bogna.zawieja@up.poznan.pl

Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Poznań, Poland

Adolfo Álvarez

adolfo.alvarez-pinto@cdv.pl

Collegium Da Vinci, Department of Informatics and Visual Communication, Poznań, Poland

DOI: https://doi.org/10.2478/bile-2021-0005 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811

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Language: English

Page range: 69 - 79

Published on: Jun 24, 2021

Published by: Polish Biometric Society

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

compound symmetry structure,

Kronecker product,

maximum likelihood estimation,

convergence of algorithm,

bias of estimator

Related subjects:

Bioinformatics,

Life sciences, other,

Probability and statistics,

Applied mathematics

© 2021 Anna Szczepańska-Álvarez, Bogna Zawieja, Adolfo Álvarez, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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