Time Series Analysis Using Sas
S, the steps include: 1) Identifying the model by examining autocorrelation and partial autocorrelation functions, 2) Estimating the model parameters using PROC ARIMA, 3) Diagnosing the model fit through residual analysis, and 4) Using the FORECAST statement to generate