Autocorrelation Analysis
Application obtains the autocorrelation structure of a given time series, and also differences data on demand. Autocorrelation analysis is required for the proper identification of autoregressive and/or moving average processes (ARIMA).
Model Identification
Application calculates autoregressive and/or moving average parameter estimates for an ARMA(p, q) process together with an estimate of the residual variance.