Model: This model uses time series analysis to forecast future values (e.g., revenue) by differencing the series to achieve stationarity and modeling autoregressive and moving average components. Its ARIMA formulation is:
$$ \phi(L)(1-L)^d y_t = \theta(L)\epsilon_t $$