Abstract
A model with variance-covariance matrix V =(Formula Presented)Pi, where P1; : : : ;Pv are known pairwise orthogonal orthogonal projection matrices, will have Orthogonal Block Structure with variance components s (Formula Presented. Moreover, if matrices P1,……,.Pv commute with the orthogonal projection matrix T on the space spanned by the mean vector, the model will have Commutative Orthogonal Block Structure (COBS). In this paper we will use Commutative Jordan Algebras to study the algebraic properties of these models as well as optimal estimators. We show that once normality is assumed, sufficient complete statistics are obtained and estimators are Uniformly Minimum Variance Unbiased Estimators. AMS Subject Classification: 62J12.
Original language | English |
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Pages (from-to) | 523-533 |
Number of pages | 11 |
Journal | Journal of Statistical Theory and Practice |
Volume | 3 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Commutative Jordan algebras
- Commutative orthogonal block structure
- Mixed linear models
- Variance components