| Name | Description |
---|
 | Cdf |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution.) |
 | DistributionFunction |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Overrides ContinuousDistributionDistributionFunction(Double).) |
 | 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.) |
 | GetAllModes |
Returns an array that contains all the modes of the distribution.
(Inherited from ContinuousDistribution.) |
 | GetExpectationValue(FuncDouble, Double) |
Returns the expectation value of a function.
(Inherited from ContinuousDistribution.) |
 | GetExpectationValue(FuncDouble, Double, Double, Double) |
Returns the un-normalized expectation value of a function over the specified interval.
(Inherited from ContinuousDistribution.) |
 | GetExpectedHistogram(Double, Double) |
Gets a vector containing a histogram of the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution.) |
 | GetExpectedHistogram(IntervalIndexDouble, Double) |
Gets a vector containing a histogram of the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution.) |
 | GetExpectedHistogram(Double, Double, Int32, Double) |
Gets a vector whose bins contain the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution.) |
 | GetHashCode | Serves as the default hash function. (Inherited from Object.) |
 | GetRandomSequence |
Returns a sequence of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
 | GetRandomSequence(Random) |
Returns a sequence of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
 | GetRandomSequence(Random, Int32) |
Returns a sequence of random samples of the specified length from the distribution.
(Inherited from ContinuousDistribution.) |
 | GetType | Gets the Type of the current instance. (Inherited from Object.) |
 | HazardFunction |
Returns the probability of failure at the specified value.
(Inherited from ContinuousDistribution.) |
 | InverseCdf | (Inherited from ContinuousDistribution.) |
 | InverseDistributionFunction |
Returns the sample value at the specified percentile.
(Overrides ContinuousDistributionInverseDistributionFunction(Double).) |
 | LeftTailProbability |
Returns the probability that a sample from the distribution
is less than the specified value.
(Inherited from ContinuousDistribution.) |
 | LogProbabilityDensityFunction |
Returns the logarithm of the probability density function
(PDF) of this distribution for the specified value.
(Overrides ContinuousDistributionLogProbabilityDensityFunction(Double).) |
 | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
 | MomentFunction |
Returns the value of the moment function of the specified order.
(Overrides ContinuousDistributionMomentFunction(Int32, Double).) |
 | Pdf |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution.) |
 | Probability |
Returns the probability that a sample taken from the
distribution lies inside the specified interval.
(Inherited from ContinuousDistribution.) |
 | ProbabilityDensityFunction |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Overrides ContinuousDistributionProbabilityDensityFunction(Double).) |
 | RightTailProbability |
Returns the probability that a sample from the distribution
is larger than the specified value.
(Inherited from ContinuousDistribution.) |
 | Sample |
Returns a random sample from the distribution.
(Inherited from ContinuousDistribution.) |
 | Sample(Int32) |
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
 | Sample(Random) |
Returns a random sample from the distribution.
(Inherited from ContinuousDistribution.) |
 | Sample(Int32, Random) |
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
  | Sample(Random, Double) |
Returns a single random sample from an exponential distribution
with the specified scale parameter.
|
 | SampleInto(Random, IListDouble) |
Fills a list with random numbers from the distribution.
(Inherited from ContinuousDistribution.) |
 | SampleInto(Random, IListDouble, Int32, Int32) |
Fills part of a list with random numbers from the distribution.
(Inherited from ContinuousDistribution.) |
 | SurvivorDistributionFunction |
Evaluates the survivor distribution function
(SDF) of this distribution for the specified value.
(Overrides ContinuousDistributionSurvivorDistributionFunction(Double).) |
 | ToString | Returns a string that represents the current object. (Overrides ObjectToString.) |
 | TwoTailedProbability |
Returns the probability that a sample from the distribution deviates from the mean more than
the specified value.
(Inherited from ContinuousDistribution.) |
The exponential distribution characterizes the
waiting time for an event when the probability of the
event occurring is constant.
The time until an event occurs when the probability doesn't change with time
follows an exponential distribution.