  We prove mixing convergence of least squares estimator of autoregressive
parameters for supercritical Gaussian autoregressive processes of order 2
having real characteristic roots with different absolute values. We use an
appropriate random scaling such that the limit distribution is a
two-dimensional normal distribution concentrated on a one-dimensional ray
determined by the characteristic root having the larger absolute value.
