Overview
A moving average times series model is one that is defined by the following structure.
{% X_t = Z_t + \theta_1 Z_{t-1} + ... + \theta_q Z_{t-q} %}
where
{% Z_t \sim WN(0, \sigma^2) %}
That is, the value of the time series today is a moving average of the past {% q %} innovations.