Package | Description |
---|---|
com.imsl.stat |
Statistical methods.
|
Modifier and Type | Method and Description |
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TimeSeries |
TimeSeriesOperations.backshift(TimeSeries ts,
int lag)
Returns the backshifted version of the time series.
|
TimeSeries |
TimeSeriesOperations.merge(TimeSeries ts1,
TimeSeries ts2)
Merges two time series objects.
|
Modifier and Type | Method and Description |
---|---|
TimeSeries |
TimeSeriesOperations.backshift(TimeSeries ts,
int lag)
Returns the backshifted version of the time series.
|
double[][] |
TimeSeriesOperations.getMeanCenteredSeries(TimeSeries timeSeries)
Returns the mean-centered values of all the series in a
TimeSeries object. |
double[] |
TimeSeriesOperations.getMeanCenteredSeries(TimeSeries timeSeries,
int k)
Returns the mean-centered values of the k-th series in a
TimeSeries object. |
TimeSeries |
TimeSeriesOperations.merge(TimeSeries ts1,
TimeSeries ts2)
Merges two time series objects.
|
double[] |
TimeSeriesOperations.stack(TimeSeries ts)
Stacks or vectorizes the values of a multivariate TimeSeries.
|
Constructor and Description |
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EGARCH(TimeSeries ts)
Constructs an EGARCH(1,1) model
|
EGARCH(TimeSeries ts,
int p,
int q,
int[] meanModel)
Constructs an EGARCH(p, q) model with a possible ARMA configuration for
the mean.
|
ExtendedGARCH(TimeSeries ts,
int p,
int q,
int[] meanModel)
Constructor for the extended GARCH class.
|
VectorAutoregression(TimeSeries ts)
Constructor for the class.
|
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