public sealed class TimeSeries : IEnumerable,
IEnumerable<double>, IReadOnlyCollection<double>, IList<double>,
ICollection<double>
Public NotInheritable Class TimeSeries
Implements IEnumerable, IEnumerable(Of Double),
IReadOnlyCollection(Of Double), IList(Of Double), ICollection(Of Double)
public ref class TimeSeries sealed : IEnumerable,
IEnumerable<double>, IReadOnlyCollection<double>, IList<double>,
ICollection<double>
[<SealedAttribute>]
type TimeSeries =
class
interface IEnumerable
interface IEnumerable<float>
interface IReadOnlyCollection<float>
interface IList<float>
interface ICollection<float>
end
NOTE: This class will be retired in a future release. Its functionality is replaced by the Series class, which can operatate on arbitrary data lists.
TimeSeries | Initializes a new, empty time series. |
TimeSeries(Double) | Initializes a new time series with the given values. |
Count | Gets the number of points in the time series. |
Item | Gets or sets the value of the time series at a given index. |
Mean | Gets the mean of the time series. |
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) |