| Add(Double) | Adds a point to the time series. |
| Add(Double) | Adds multiple points to the time series. |
| AsSample | Gets a sample containing the time-series values. |
| Autocovariance | Computes the autocovariance for all lags. |
| Autocovariance(Int32) | Computes the autocovariance of the series at the given lag. |
| Clear | Removes all points from the time series. |
| Contains | Determines whether the time series contains a value. |
| Difference | Re-computes the time series as the differences between sequential values of the original series. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| FitToAR1 | Fits an AR(1) model to the time series. |
| FitToMA1 | Fits an MA(1) model to the time series. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| IndexOf | Finds the index at which a value occurs. |
| Integrate | Re-computes the time series as the sums of sequential values of the original series. |
| LjungBoxTest | Performs a Ljung-Box test for non-correlation. |
| LjungBoxTest(Int32) | Performs a Ljung-Box test for non-correlation with the given number of lags. |
| PopulationStatistics | Computes estimates for the moments of the population from which the time series is drawn. |
| PowerSpectrum | Computes the power spectrum of the time series. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
| CentralMoment |
Computes the given sample central moment.
(Defined by Univariate) |
| CorrectedStandardDeviation |
Computes the Bessel-corrected standard deviation.
(Defined by Univariate) |
| Maximum |
Finds the maximum value.
(Defined by Univariate) |
| Mean |
Computes the sample mean.
(Defined by Univariate) |
| Minimum |
Finds the minimum value.
(Defined by Univariate) |
| PopulationCentralMoment |
Estimates the given central moment of the underlying population.
(Defined by Univariate) |
| PopulationMean |
Estimates the mean of the underlying population.
(Defined by Univariate) |
| PopulationRawMoment |
Estimates the given raw moment of the underlying population.
(Defined by Univariate) |
| PopulationStandardDeviation |
Estimates of the standard deviation of the underlying population.
(Defined by Univariate) |
| PopulationVariance |
Estimates of the variance of the underlying population.
(Defined by Univariate) |
| RawMoment |
Computes the given sample raw moment.
(Defined by Univariate) |
| SignTest |
Tests whether the sample median is compatible with the given reference value.
(Defined by Univariate) |
| Skewness |
Computes the sample skewness.
(Defined by Univariate) |
| StandardDeviation |
Computes the sample standard deviation.
(Defined by Univariate) |
| StudentTTest |
Tests whether the sample mean is compatible with the reference mean.
(Defined by Univariate) |
| Variance |
Computes the sample variance.
(Defined by Univariate) |
| ZTest |
Performs a z-test to test whether the given sample is compatible with the given normal reference population.
(Defined by Univariate) |