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, ...
This is a preview. Log in through your library . Abstract This paper adds motivations for the use of the sample variance-covariance matrix estimator $\hat{\Sigma}$ in repeated measurement designs by: ...
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