Estimation of Variance Components in Mixed Linear Models
โ Scribed by T. Kubokawa
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 775 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0047-259X
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โฆ Synopsis
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. These estimators are shown to be further dominated by utilizing the information contained in the noninvariant statistics. Applications to the unbalanced one-way ANOVA models and to balanced incomplete block designs are given. 1995 Academic Press. Inc
๐ SIMILAR VOLUMES
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
## Abstract In many applications of generalized linear mixed models to clustered correlated or longitudinal data, often we are interested in testing whether a random effects variance component is zero. The usual asymptotic mixture of chiโsquare distributions of the score statistic for testing const