On a matrix identity associated with generalized least squares

Abstract

This note discusses an identity which is useful in the construction of reduced generalized least-squares equations, in the REML method of estimating variance components, and in calculating best linear unbiased predictors. The identity is shown to be a singular form of a better-known matrix relation. Some applications of the result are presented. © 1990.