Click or drag to resize

ExponentialDistribution Class

Class ExponentialDistribution represents the Exponential probability distribution.
Inheritance Hierarchy

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
public class ExponentialDistribution : ProbabilityDistribution, 

The ExponentialDistribution type exposes the following members.

Public methodExponentialDistribution Constructs an ExponentialDistribution instance with the given rate parameter lambda.
Public propertyKurtosis Gets the kurtosis, a measure of the degree of peakednesss of the distribution.
Public propertyLambda Gets and sets the rate parameter lambda.
Public propertyMean Gets the mean of the distribution.
Public propertySkewness Gets the skewness, a measure of the degree of asymmetry of this distribution.
Public propertyVariance Gets the variance of the distribution.
The variance of the distribution is the standard deviation squared.
Public methodCDF Returns the cumulative density function evaluated at a given value.
(Overrides ProbabilityDistributionCDF(Double))
Public methodClone Creates a deep copy of this ExponentialDistribution.
(Overrides ProbabilityDistributionClone)
Public methodInverseCDF Returns the inverse cumulative density function evaluated a the given value.
(Overrides ProbabilityDistributionInverseCDF(Double))
Protected methodInverseCdfUsingBracket Uses a bracketing method to evaluate the inverse of cumulative distribution functions.
(Inherited from ProbabilityDistribution)
Protected methodInverseDiscreteCdfUsingBracket Uses a bracketing method to evaluate the inverse of cumulative distribution functions for discrete distributions.
(Inherited from ProbabilityDistribution)
Public methodPDF Returns the probability density function evaluated at a given value.
(Overrides ProbabilityDistributionPDF(Double))
Public methodToString Returns a formatted string representation of this distribution.
(Overrides ProbabilityDistributionToString)
The probability density function of the exponential distribution is given by the formula: f(x:lambda) = lamba*exp(-lambda*x) where lambda > 0 is often called the rate parameter.
See Also