The penalty that we employ is the coefficient matrix's Ky Fan norm. Such a penalty encourages the sparsity among singular values and at the same time gives shrinkage coefficient estimates and thus ...

Each LS-mean is computed as where L is the coefficient matrix associated with the least-squares mean and is the estimate of the fixed-effects parameter vector (see the section). The approximate ...

A shift splitting concept is introduced and, correspondingly, a shift-splitting iteration scheme and a shift-splitting preconditioner are presented, for solving the large sparse system of linear ...