Properties of an MLE algorithm for the multivariate linear model with a separable covariance matrix structure
Abstract
In this paper we present properties of an algorithm to determine the maximum likelihood estimators of the covariance matrix when two processes jointly affect the observations. Additionally, one process is partially modeled by a compound symmetry structure. We perform a simulation study of the properties of an iteratively determined estimator of the covariance matrix.
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:
Related subjects:
© 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.