von Rosen, Dietrich
- Institutionen för energi och teknik, Sveriges lantbruksuniversitet
- Linköpings universitet
Hierarchical linear models with a block circular covariance structure are considered. Sufficient conditions for obtaining explicit and unique estimators for the variance-covariance components are derived. Different restricted models are discussed and maximum likelihood estimators are presented. The theory is illustrated through covariance matrices of small sizes and a real-life example.
Circular block symmetry; Estimation; Identifiability; Maximum likelihood estimator; Restricted model; Variance components
Annals of the Institute of Statistical Mathematics
2015, volym: 67, nummer: 4, sidor: 773-791
Utgivare: SPRINGER HEIDELBERG
Sannolikhetsteori och statistik
https://res.slu.se/id/publ/75578