On a matrix version of Cochranʹs statistical theorem Original Research Article

Cochranʹs theorem on the distribution of quadratic forms in normal random variables can be equivalently formulated as a rank-additivity result for symmetric idempotent matrices. A generalization of this theorem to matrices satisfying a general matrix polynomial equation p(A) = 0 is given.