# Limiting Behaviour of Moving Average Processes Based on a Sequence of *ρ*^{-} Mixing and Negatively Associated Random
Variables

## (*Lobachevskii Journal of Mathematics, Volume XXVI*)

Let (*Y*_{i}, -∞ < i < ∞) be a doubly infinite sequence of identically distributed *ρ*^{-}-mixing or negatively associated random
variables, (*a*_{i}, -∞< i <∞) a sequence of real numbers. In this paper, we prove the rate of convergence and strong law of large numbers for the partial
sums of moving average processes *∑*^{∞}_{i=-∞}a_{i}Y_{i+n},n≥1, under some moment conditions.