 Name  Description 

 Cdf 
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution.) 
 DistributionFunction(Double) 
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Overrides ContinuousDistributionDistributionFunction(Double).) 
 DistributionFunction(Double, Double, Double) 
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.

 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.) 
 GetConfidenceInterval 
Returns a confidence interval at the specified level.

 GetExpectationValue(FuncDouble, Double) 
Returns the expectation value of a function.
(Inherited from ContinuousDistribution.) 
 GetExpectationValue(FuncDouble, Double, Double, Double) 
Returns the unnormalized 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(Double) 
Returns the sample value at the specified percentile.
(Overrides ContinuousDistributionInverseDistributionFunction(Double).) 
 InverseDistributionFunction(Double, Double, 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.
(Overrides ContinuousDistributionSample(Random).) 
 Sample(Int32, Random) 
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution.) 
 Sample(Random, Double) 
Returns a single random sample from a normal distribution
with specified mean and standard deviation equal to 1.

 Sample(Random, Double, Double) 
Returns a single random sample from a normal distribution
with the specified parameters.

 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.
(Overrides ContinuousDistributionSampleInto(Random, IListDouble, Int32, Int32).) 
 SurvivorDistributionFunction 
Evaluates the survivor distribution function
(SDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution.) 
 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.) 
 ZScore 
Returns the zscore of a sample.
