Estimation of the Hypothesis on a Noninformation Subspace in a Classification Problem

We obtain maximum-likelihood estimates for vectors from the subspaces in a hypothesis with information and noninformation subspaces. We present two practical methods for estimating the number of vectors in the subspaces.