Holt's linear exponential smoothing is often called
A)nonlinear trend regression
B)time series decomposition
C)double exponential smoothing
D)time series deseasonalization

Question

Quizplus · Accepted Answer

Holt's linear exponential smoothing is a type of double exponential smoothing, which is used to forecast time series data that has a trend. This method uses two smoothing constants (alpha and beta) to update two state variables (the level and the slope) and make forecasts for future time periods.

Holt's Linear Exponential Smoothing Is Often Called