Burr Class |
[Missing <summary> documentation for "T:Altaxo.Calc.Distributions.Burr"]
public class Burr : IContinuousDistribution, IUnivariateDistribution, IDistribution
The Burr type exposes the following members.
Name | Description | |
---|---|---|
A | Gets the scale (a) of the distribution. Range: a > 0. | |
C | Gets the first shape parameter (c) of the distribution. Range: c > 0. | |
Entropy | Gets the entropy of the Burr distribution (currently not supported). | |
K | Gets the second shape parameter (k) of the distribution. Range: k > 0. | |
Maximum | Gets the maximum of the Burr distribution. | |
Mean | Gets the mean of the Burr distribution. | |
Median | Gets the median of the Burr distribution. | |
Minimum | Gets the minimum of the Burr distribution. | |
Mode | Gets the mode of the Burr distribution. | |
RandomSource | Gets the random number generator which is used to draw random samples. | |
Skewness | Gets the skewness of the Burr distribution. | |
StdDev | Gets the standard deviation of the Burr distribution. | |
Variance | Gets the variance of the Burr distribution. |
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) | |
GetMoment | Gets the n-th raw moment of the distribution. | |
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 | Generates a sample from the Burr distribution. | |
Sample(Random, Double, Double, Double) | Generates a sample from the Burr distribution. | |
Samples | Generates a sequence of samples from the Burr distribution. | |
Samples(Double) | Fills an array with samples generated from the distribution. | |
Samples(Random, Double, Double, Double) | Generates a sequence of samples from the Burr distribution. | |
Samples(Random, Double, Double, Double, Double) | Fills an array with samples generated from the distribution. | |
ToString |
A string representation of the distribution.
(Overrides ObjectToString) |