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TimeSeries Methods

The TimeSeries type exposes the following members.

Methods
  NameDescription
Public methodAdd(Double)
Adds a point to the time series.
Public methodAdd(Double)
Adds multiple points to the time series.
Public methodAsSample
Gets a sample containing the time-series values.
Public methodAutocovariance
Computes the autocovariance for all lags.
Public methodAutocovariance(Int32)
Computes the autocovariance of the series at the given lag.
Public methodClear
Removes all points from the time series.
Public methodContains
Determines whether the time series contains a value.
Public methodDifference
Recomputes the time series as the differences between sequential values of the original series.
Public methodEquals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Public methodFitToAR1
Fits an AR(1) model to the time series.
Public methodFitToMA1
Fits an MA(1) model to the time series.
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodIndexOf
Finds the index at which a value occurs.
Public methodIntegrate
Recomputes the time series as the sums of seqential values of the original series.
Public methodLjungBoxTest
Performs a Ljung-Box test for non-correlation.
Public methodLjungBoxTest(Int32)
Performs a Ljung-Box test for non-correlation with the given number of lags.
Public methodPopulationStatistics
Computes estimates for the moments of the population from which the time series is drawn.
Public methodPowerSpectrum
Computes the power spectrum of the time series.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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See Also