ABSTRACT
One of the most successful statistical models ever developed for time series data is the autoregressive moving average (ARMA) model. Its popularity began in the early 1970s partly due to the book by Box and Jenkins and partly due to advancement in computing power which allows the likelihood function of the ARMA models to be evaluated efficiently. Now most commercial statistical softwares are capable of ARMA time series modeling.
