Nonnegativity of admissible invariant quadratic estimates in mixed linear models with two variance components
✍ Scribed by S. Gnot; J. Kleffe; R. Zmyślony
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 529 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In mixed linear models with two variance components, classes of estimators improving on ANOVA estimators for the variance components and the ratio of variances are constructed on the basis of the invariant statistics. Out of the classes, consistent, improved and positive estimators are singled out.
Consider the independent Wishart matrices \(S_{1} \sim W\left(\Sigma+\lambda \theta, q_{1}\right)\) and \(S_{2} \sim\) \(W\left(\Sigma, q_{2}\right)\), where \(\Sigma\) is an unknown positive definite (p.d.) matrix, \(\theta\) is an unknown nonnegative definite (n.n.d.) matrix, and \(\lambda\) is a