Computes the exact maximum likelihood estimates for the autoregressive and moving average parameters of an ARMA time series.

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 for lead times at origins z.Length-BackwardOrigin-1+j where .

Returns the final autoregressive parameter estimates.

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

Returns forecasts

Returns the gradients for the final parameter estimates.

Serves as a hash function for a particular type.

Returns the final moving average parameter estimates.

Returns the psi weights used for calculating forecasts from the infinite order moving average form of the ARMA model.

The current values of the vector of residuals.

Returns the time series used to construct ARMAMaxLikelihood.

Gets the Type of the current instance.

Tests whether the coefficients in ma are invertible.

Tests whether the coefficients in ar are stationary.

Creates a shallow copy of the current Object.

Sets the initial values for the autoregressive terms to the p values in ar.

Sets the initial values for the moving average terms to the q values in ma.

Returns a String that represents the current Object.