a) Define the components, which make up an ARIMA model.
b) Why is Wolds decomposition fundamental to time series modelling?
c) Outline the Box-Jenkins identification methodology.
d) Define the exponentially weighted moving average time series forecasting approach and give examples of commonly used versions of this model.