Stable Class |
Continuous Univariate Stable distribution.
A random variable is said to be stable (or to have a stable distribution) if it has
the property that a linear combination of two independent copies of the variable has
the same distribution, up to location and scale parameters.
For details about this distribution, see
Wikipedia - Stable distribution.
Inheritance HierarchyNamespace: Altaxo.Calc.Distributions
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
SyntaxC#
public class Stable : IContinuousDistribution, IUnivariateDistribution, IDistribution
The Stable type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | Stable(Double, Double, Double, Double) | Initializes a new instance of the Stable class. |
| Stable(Double, Double, Double, Double, Random) | Initializes a new instance of the Stable class. |
Properties| Name | Description | |
|---|---|---|
 | Alpha | Gets the stability (α) of the distribution. Range: 2 ≥ α > 0. |
| Beta | Gets The skewness (β) of the distribution. Range: 1 ≥ β ≥ -1. |
| Entropy | Gets he entropy of the distribution. |
| Location | Gets the location (μ) of the distribution. |
| Maximum | Gets the maximum of the distribution. |
| Mean | Gets the mean of the distribution. |
| Median | Gets the median of the distribution. |
| Minimum | Gets the minimum of the distribution. |
| Mode | Gets the mode of the distribution. |
| RandomSource | Gets or sets the random number generator which is used to draw random samples. |
| Scale | Gets the scale (c) of the distribution. Range: c > 0. |
| Skewness | Gets the skewness of the distribution. |
| StdDev | Gets the standard deviation of the distribution. |
| Variance | Gets the variance of the distribution. |
Methods| Name | Description | |
|---|---|---|
 | CDF | Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x). |
| CumulativeDistribution | Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x). |
| Density | Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x. |
| DensityLn | Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x). |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| IsValidParameterSet | Tests whether the provided values are valid parameters for this distribution. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x. | |
| PDFLn | Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x). |
| Sample | Draws a random sample from the distribution. |
| Sample(Double, Double, Double, Double) | Generates a sample from the distribution. |
| Sample(Random, Double, Double, Double, Double) | Generates a sample from the distribution. |
| Samples | Generates a sequence of samples from the Stable distribution. |
| Samples(Double) | Fills an array with samples generated from the distribution. |
| Samples(Double, Double, Double, Double) | Generates a sequence of samples from the distribution. |
| Samples(Double, Double, Double, Double, Double) | Fills an array with samples generated from the distribution. |
| Samples(Random, Double, Double, Double, Double) | Generates a sequence of samples from the distribution. |
| Samples(Random, Double, Double, Double, Double, Double) | Fills an array with samples generated from the distribution. |
| ToString |
A string representation of the distribution.
(Overrides ObjectToString) |
See Also