EWMAtilastot
EWMA (Exponential Weighted Moving Average) tilastot, also known as exponential smoothing, are a type of statistical time series forecasting method. This method is used to predict future values of a time series based on past observations.
The basic idea of EWMA is to assign more weight to recent observations and less weight to
The EWMA method is often used when dealing with time series data that exhibit trends or seasonality.
In terms of applications, EWMA tilastot have been employed in various fields, including finance, healthcare, and
One of the advantages of EWMA tilastot is its computational efficiency, as it only requires a single