EN
The autoregressive process takes an important part in predicting problems leading to decision making. In practice, we use the least squares method to estimate the parameter θ̃ of the first-order autoregressive process taking values in a real separable Banach space B (ARB(1)), if it satisfies the following relation:
$X̃_t = θ̃ X̃_{t-1} + ε̃_t$.
In this paper we study the convergence in distribution of the linear operator $I(θ̃_T, θ̃)= (θ̃_T-θ̃)θ̃^{T-2}$ for ||θ̃|| > 1 and so we construct inequalities of Bernstein type for this operator.