TY - JOUR
T1 - Application of jordan algebra for testing hypotheses about structure of mean vector in model with block compound symmetric covariance structure
AU - Zmyslony, Roman
AU - Zezula, Ivan
AU - Koziol, Arkadiusz
PY - 2017
Y1 - 2017
N2 - In this article authors derive test for structure of mean vector in model with block compound symmetric covariance structure for two-level multivariate observations. One possible structure is so called structured mean vector when its components remain constant over sites or over time points, so that mean vector is of the form 1(u)circle times mu with mu = (mu(1), mu(2), ..., mu(m))' is an element of R-m. This hypothesis is tested against alternative of unstructured mean vector, which can change over sites or over time points.
AB - In this article authors derive test for structure of mean vector in model with block compound symmetric covariance structure for two-level multivariate observations. One possible structure is so called structured mean vector when its components remain constant over sites or over time points, so that mean vector is of the form 1(u)circle times mu with mu = (mu(1), mu(2), ..., mu(m))' is an element of R-m. This hypothesis is tested against alternative of unstructured mean vector, which can change over sites or over time points.
KW - Best unbiased estimator
KW - testing structured mean vector
KW - blocked compound symmetric covariance structure
KW - doubly multivariate data
KW - coordinate free approach
KW - unstructured mean vector
KW - MULTIVARIATE
KW - MATRIX
U2 - 10.13001/1081-3810.3748
DO - 10.13001/1081-3810.3748
M3 - Article
SN - 1537-9582
VL - 33
SP - 41
EP - 52
JO - Electronic journal of linear algebra
JF - Electronic journal of linear algebra
ER -