Thetype exposes the following members.
Initializes a new standard exponential distribution.
Initializes a new exponential distribution with the given mean.
Gets the excess kurtosis of the distribution.(Overrides UnivariateDistributionExcessKurtosis.)
Gets the mean of the distribution.(Overrides UnivariateDistributionMean.)
Gets the median of the distribution.(Overrides DistributionMedian.)
Gets the skewness of the distribution.(Overrides UnivariateDistributionSkewness.)
Gets the standard deviation of the distribution.(Overrides UnivariateDistributionStandardDeviation.)
Gets the interval over which the distribution is nonvanishing.(Overrides DistributionSupport.)
Gets the variance of the distribution.(Inherited from UnivariateDistribution.)
Computes a cumulant of the distribution.(Overrides UnivariateDistributionCumulant(Int32).)
Computes the expectation value of the given function.(Inherited from Distribution.)
Computes the exponential distribution that best fits the given sample.
Serves as a hash function for a particular type.(Inherited from Object.)
Returns a random value.(Overrides DistributionGetRandomValue(Random).)
Gets the Type of the current instance.(Inherited from Object.)
Returns the point at which the cumulative distribution function attains a given value.(Overrides DistributionInverseLeftProbability(Double).)
Returns the point at which the right probability function attains the given value.(Overrides DistributionInverseRightProbability(Double).)
Returns the cumulative probability to the left of (below) the given point.(Overrides DistributionLeftProbability(Double).)
Computes a raw moment of the distribution.(Overrides DistributionMoment(Int32).)
Computes a central moment of the distribution.(Overrides DistributionMomentAboutMean(Int32).)
Returns the probability density at the given point.(Overrides DistributionProbabilityDensity(Double).)
Return the cumulative probability to the right of (above) the given point.(Overrides DistributionRightProbability(Double).)
Returns a string that represents the current object.(Inherited from Object.)
An exponential distribution falls off exponentially in the range from zero to infinity. It is a one-parameter distribution, determined entirely by its rate of fall-off.
The exponential distribution describes the distribution of decay times of radioactive particles.
An exponential distribution with mean one is called a standard exponential distribution. Any exponential distribution can be converted to a standard exponential by reparameterizing the data into "fractions of the mean," i.e. z = x / μ.
Processes resulting in events that are exponentially distributed in time are said to be "ageless" because the hazard function of the exponential distribution is constant. The Weibull distribution (WeibullDistribution) is a generalization of the exponential distribution which the hazard function changes (typically by increasing) with time.