Determines the autoregressive model with the minimum AIC by fitting autoregressive models from 0 to maxlag lags using the method of moments or an estimation method specified by the user through EstimationMethod.

Determines whether the specified Object is equal to the current Object.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Returns forecasts and associated confidence interval offsets.

Returns the final autoregressive parameter estimates at the optimum AIC using the estimation method specified in EstimationMethod.

Returns the deviations for each forecast used for calculating the forecast confidence limits.

Returns a specified number of forecasts beyond the last value in the series.

Serves as a hash function for a particular type.

Returns the current values of the vector of residuals.

Returns the time series used for estimating the minimum AIC and the autoregressive coefficients.

Returns the final auto regressive parameter estimates at the optimum AIC estimated by the original TIMSAC routine (UNIMAR).

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a String that represents the current Object.