Constructor for ARSeasonalFit.

Computes the minimum AIC and optimum values for s and d based upon the candidates provided in SInitial and DInitial, and computes the values for the transformed 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 the final autoregressive parameter estimates at the optimum in the transformed series .

Returns the candidate values for d to evaluate.

Serves as a hash function for a particular type.

Returns the optimum values for d selected among the candidates in DInitial.

Returns the optimum values for s selected among the candidates in SInitial.

Returns the candidate values for s to evaluate.

Returns the time series.

Returns the transformed series, .

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Sets the candidate values for selecting the optimum seasonal adjustment prior to calling the compute method.

Returns a String that represents the current Object.

The final estimate for Akaike's Information Criterion (AIC) at the optimum.

The optimum number of lags, p, for the optimum autoregressive AR(p) model. This is the value of p for the transformed series, .

The setting for centering the input time series.

Controls whether to exclude or replace the intial values in the transformed series.

The maximum lag used to fit the AR(p) model.

The number of values in the initial part of the series lost to differencing.