We consider matrix-valued multivariate observation model with three-level doubly-exchangeable covariance structure. We derive estimators of unknown parameters and their distributions under multivariate normality assumption. Test statistic for testing a mean value is proposed, and its exact distribution is derived. Several methods of computing p-values and critical values of the distribution are compared in real data example.
CITATION STYLE
Žežula, I., Klein, D., & Roy, A. (2020). Mean value test for three-level multivariate observations with doubly exchangeable covariance structure. In Recent Developments in Multivariate and Random Matrix Analysis: Festschrift in Honour of Dietrich von Rosen (pp. 335–349). Springer International Publishing. https://doi.org/10.1007/978-3-030-56773-6_19
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