Returns the transformed series, .
A double
array of length z.Length
or z.Length-NLost
, depending upon the setting for the Exclude
property.
is an array of length z.Length
or z.Length-NLost
containing the optimum seasonally adjusted, autoregressive series, where NLost
is the first lost observations in this series that are dropped due to differencing. If the missing values are not dropped the first NLost
values of will be set to Double.NaN
. The
NLost property can be used to obtain the number of lost observations.
The seasonal adjustment is done by selecting optimum values for , and p in the AR model, where m is number of differences, m=sIinitial.GetLength(1)
:
Exception Type | Condition |
---|---|
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. |
ARSeasonalFit Class | Imsl.Stat Namespace