What are the main problems with using adaptive exponential smoothing in forecasting?

Adaptive smoothing is computationally difficult; it requires solving a set of equations in sequence. The user must select two constants for the equations; one is adjusted by the equations, but the other is not. It is not clear as to what the value should be. Lastly, there is some challenge to the value of adaptive smoothing when compared to other methods.

Be the first to comment on "What are the main problems with using adaptive exponential smoothing in forecasting?"

Leave a comment

Your email address will not be published.


*


This site uses Akismet to reduce spam. Learn how your comment data is processed.