Suppose a random vector X has a multinormal distribution with covariance matrix [Sigma] of the form [Sigma] = [Sigma]i=1k [theta]iMi, where Mi's form a known complete orthogonal set and [theta]i's are the distinct unknown eigenvalues of [Sigma]. The problem of estimation of [Sigma] is considered...