Arema and Serima Models Are a Very Good Approach to the Long Stationary Time Series Forecasting Problem

Arema and serima models have, i believe, some sort of guarantees. And are certainly a long history in literature. What is attractive about techniques like these? I think the areman makes a very important contributionn the so called long stationary time seris forcasting. They can solve those non stationary time serioes models using the difference operator. But we find that the transformation, i remard pass is not unsufficient. So this es a i lesson.