The Annals of Mathematical Statistics, Vol. 27, No. 3 (Sep., 1956), pp. 737-748 (12 pages) The sampling variance of the least squares estimates of the components of variance in an unbalanced ...
The BLOCKS statement finds a design that maximizes the determinant |X'AX| of the treatment information matrix, where A depends on the block or covariate model. Alternatively, you can directly specify ...
This is a preview. Log in through your library . Abstract Genetic potential for evolutionary change and covariational constraints are typically summarized as the genetic variance-covariance matrix G, ...
The distribution of genetic variation among multiple traits is a key determinant of how a population will respond to selection (Lande, 1979; Schluter, 1996; Arnold et al., 2001). For the prediction of ...
This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...
This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...
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