  This paper is concerned with the least squares estimator for a basic class of
nonlinear autoregressive models, whose outputs are not necessarily to be
ergodic. Several asymptotic properties of the least squares estimator have been
established under mild conditions. These properties suggest the strong
consistency of the least squares estimates in nonlinear autoregressive models
which are not divergent.
