Computation of variance components by the MINQUE method
We present a new method of computing C. R. Rao's MINQUE in variance component models \((y=X\beta +U_ 1\xi_ 1+\cdots +U_ p\xi_ p)\), which requires only inversion and storage of \(n_ i\times n_ i\) matrices, where \(n_ i\) is the number of columns in \(U_ i\). In many cases most of these matrices are of diagonal form. In particular, the derivation of MINQUE equations for univariate nested classification models does not need any inversion of matrices.
scientific article; zbMATH DE number 3934253
scientific article