Application of the Chauvenet test to detection of overliers in observations connected in homogeneous Markov chain

Let $x_1,\ldots,x_n$ be random variables, connected in homogeneous Markov chain. Asymptotic behavior of the distribution of random value $N$: number of overliers is investigated for unknown parameters $a$, $\sigma$, and $\rho$.