Two step estimators of the minimum distance type for parameters of the ARMA $(1,1)$ model

A new type of minimum distance estimate is constructed in this paper based on a preliminary estimate. We establish the asymptotic normality of the estimate using a uniform linear expansion of a randomly weighted residual empirical process. Such an expansion is valid in a non-standard neighborhood of the true parameter value. We also discuss asymptotic efficiency of the proposed estimate.