This is a preview. Log in through your library . Abstract Least squares solution of F= PG with respect to positive semidefinite symmetric P is considered,a new necessary and sufficient condition for ...

The paper proves the asymptotic normality of a generalized least squares estimator utilizing estimated autocovariances of the residual in a regression equation having a residual following a mixed ...

The LSMEANS statement computes least-squares means (LS-means) corresponding to the specified effects for the linear predictor part of the model. The L matrix constructed to compute them is precisely ...

The LSMEANS statement computes least-squares means (LS-means) of fixed effects. As in the GLM procedure, LS-means are predicted population margins-that is, they estimate the marginal means over a ...