On the estimation of spectrum parameters of a Gaussian stationary process with a rational spectral density

Estimates of parameters of the rational spectral density of a Gaussian stationary process with continuous time are presented which are asymptotically equivalent to the maximum likelihood estimates and similar to Whittle's estimates for time series. It is proved that the estimates are consistent, asymptotically normal and asymptotically efficient.