On methods for obtaining asymptotically efficient spectrum parameter estimates for a Gaussian stationary process with rational spectral density

Arbitrary consistent estimates of spectrum parameters of a continuous time Gaussion stationary process with a rational spectral density are used to obtain improved asymptotically efficient and asymptotically normal estimates. The method of constructing such estimates consists in replacement of unknown parameters by their consistent estimates in the asymptotic likelihood equations studied in [2].