IMSL C# Numerical Library

ARSeasonalFit.Compute Method 

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, W_t(s,d).

public void Compute();

Remarks

Warnings are printed if a row in SInitial is skipped due to too many observations lost in the differenced series or if problems occurred computing the optimum AIC using the differenced series.

Exceptions

Exception TypeCondition
MatrixSingularException is thrown if the input matrix is singular.
TooManyCallsException is thrown if the number of calls to the function has exceeded the maximum number of iterations times the number of moving average (MA) parameters + 1.
IncreaseErrRelException is thrown if the bound for the relative error is too small.
NewInitialGuessException is thrown if the iteration has not made good progress.
IllConditionedException is thrown if the problem is ill-conditioned.
TooManyIterationsException is thrown if the maximum number of iterations is exceeded.
TooManyFunctionEvaluationsException is thrown if the maximum number of function evaluations is exceeded.
TooManyJacobianEvalException is thrown if the maximum number of Jacobian evaluations is exceeded.
NonStationaryException is thrown if the final maximum likelihood estimates for the time series are nonstationary.
SingularTriangularMatrixException is thrown if the input triangular matrix is singular.

See Also

ARSeasonalFit Class | Imsl.Stat Namespace