public sealed class CauchyDistribution : ContinuousDistributionPublic NotInheritable Class CauchyDistribution
Inherits ContinuousDistributionpublic ref class CauchyDistribution sealed : public ContinuousDistribution[<SealedAttribute>]
type CauchyDistribution =
class
inherit ContinuousDistribution
endIn physical applications, the Cauchy distribution is usually called a Lorentz distribution. It models the shape of a spectral line.
The ratio of two normally distributed quantities has a Cauchy distribution.

The Cauchy distribution has "fat tails". In fact, it falls off at the minimum possible rate consistent with having a convergent probability integral. For this same reason, none of its moments (above the zeroth) are defined.
| CauchyDistribution | Initializes a new standard Cauchy distribution. |
| CauchyDistribution(Double, Double) | Initializes a new Cauchy distribution. |
| ExcessKurtosis |
Gets the excess kurtosis of the distribution.
(Inherited from UnivariateDistribution) |
| FullWithAtHalfMaximum | Gets the full width at half maximum (FWHM) of the Cauchy distribution. |
| Mean |
Gets the mean of the distribution.
(Overrides UnivariateDistributionMean) |
| Median |
Gets the median of the distribution.
(Overrides ContinuousDistributionMedian) |
| Skewness |
Gets the skewness of the distribution.
(Inherited from UnivariateDistribution) |
| StandardDeviation |
Gets the standard deviation of the distribution.
(Inherited from UnivariateDistribution) |
| Support |
Gets the interval over which the distribution is non-vanishing.
(Inherited from ContinuousDistribution) |
| Variance |
Gets the variance of the distribution.
(Overrides UnivariateDistributionVariance) |
| CentralMoment |
Computes a central moment of the distribution.
(Overrides ContinuousDistributionCentralMoment(Int32)) |
| Cumulant |
Computes a cumulant of the distribution.
(Overrides UnivariateDistributionCumulant(Int32)) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| ExpectationValue |
Computes the expectation value of the given function.
(Inherited from ContinuousDistribution) |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetRandomValue |
Generates a random variate.
(Overrides ContinuousDistributionGetRandomValue(Random)) |
| GetRandomValues |
Generates the given number of random variates.
(Inherited from ContinuousDistribution) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| Hazard |
Computes the hazard function.
(Inherited from ContinuousDistribution) |
| InverseLeftProbability |
Returns the point at which the cumulative distribution function attains a given value.
(Overrides ContinuousDistributionInverseLeftProbability(Double)) |
| InverseRightProbability |
Returns the point at which the right probability function attains the given value.
(Overrides ContinuousDistributionInverseRightProbability(Double)) |
| LeftProbability |
Returns the cumulative probability to the left of (below) the given point.
(Overrides ContinuousDistributionLeftProbability(Double)) |
| ProbabilityDensity |
Returns the probability density at the given point.
(Overrides ContinuousDistributionProbabilityDensity(Double)) |
| RawMoment |
Computes a raw moment of the distribution.
(Overrides ContinuousDistributionRawMoment(Int32)) |
| RightProbability |
Returns the cumulative probability to the right of (above) the given point.
(Overrides ContinuousDistributionRightProbability(Double)) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |