IContinuous |
public interface IContinuousDistribution : IUnivariateDistribution, IDistribution
The IContinuousDistribution type exposes the following members.
| Name | Description | |
|---|---|---|
| Entropy |
Gets the entropy of the distribution.
(Inherited from IUnivariateDistribution) | |
| Maximum | Gets the largest element in the domain of the distribution which can be represented by a double. | |
| Mean |
Gets the mean of the distribution.
(Inherited from IUnivariateDistribution) | |
| Median |
Gets the median of the distribution.
(Inherited from IUnivariateDistribution) | |
| Minimum | Gets the smallest element in the domain of the distribution which can be represented by a double. | |
| Mode | Gets the mode of the distribution. | |
| RandomSource |
Gets or sets the random number generator which is used to draw random samples.
(Inherited from IDistribution) | |
| Skewness |
Gets the skewness of the distribution.
(Inherited from IUnivariateDistribution) | |
| StdDev |
Gets the standard deviation of the distribution.
(Inherited from IUnivariateDistribution) | |
| Variance |
Gets the variance of the distribution.
(Inherited from IUnivariateDistribution) |
| Name | Description | |
|---|---|---|
| CumulativeDistribution |
Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).
(Inherited from IUnivariateDistribution) | |
| 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). | |
| Sample | Draws a random sample from the distribution. | |
| Samples | Draws a sequence of random samples from the distribution. | |
| Samples(Double) | Fills an array with samples generated from the distribution. |