Testing hypotheses of covariance structure in multivariate data, 2018, Miguel Fonseca , Arkadiusz Kozioł , Roman Zmyślony , Electronic Journal of Linear Algebra: International Conference on Matrix Analysis and its Applications, MAT TRIAD 2017, Vol. 33, 53--62, ISSN: 1081-3810, bibliogr. wykr. summ.
Słowa kluczowe: Block compound symmetric covariance structure, Double multivariate data, Positive and negative part of estimator, Quadratic subspace, Structure of covariance matrices, Testing hypotheses
Kod: CZR-JCR BibTeX (pkt. 30) DOI: 10.13001/1081-3810.3743

Application of Jordan Algebra for testing hypotheses about structure of mean vector in model with block compound symmetric covariance structure, 2018, Roman Zmyślony , Ivan Zezula , Arkadiusz Kozioł , Electronic Journal of Linear Algebra: International Conference on Matrix Analysis and its Applications, MAT TRIAD 2017, Vol. 33, 41--52, ISSN: 1081-3810, bibliogr. wykr. summ.
Słowa kluczowe: best unbiased estimator,, blocked compound symmetric covariance structure, coordinate free approach, doubly multivariate data, testing structured mean vector, unstructured mean vector
Kod: CZR-JCR BibTeX (pkt. 30) DOI: 10.13001/1081-3810.3748