If you want to change selection, open original toplevel document below and click on "Move attachment"
Parent (intermediate) annotation
Open itIf a time series X t is described by an additive model with constant level and no seasonality, 1-step ahead forecasts may be obtained by simple exponential smoothing using the formula
\(\hat{x}_{n+1}\)= αx n + (1 − α)\(\hat{x}_n\)
where:
x n is the observed value at time n, \(\hat{x}_n\)and \(\hat{x}_{n+1}\)are the 1-step ahead forecasts of X n and X n+1 , and α is a smoothing parameter, 0 ≤ α ≤ 1.
Original toplevel document (pdf)
cannot see any pdfs