TriangularDistribution Class 
Namespace: Meta.Numerics.Statistics.Distributions
The TriangularDistribution type exposes the following members.
Name  Description  

TriangularDistribution 
Initializes a new triangular distribution.

Name  Description  

ExcessKurtosis 
Gets the excess kurtosis of the distribution.
(Inherited from UnivariateDistribution.)  
Mean 
Gets the mean of the distribution.
(Overrides UnivariateDistributionMean.)  
Median 
Gets the median of the distribution.
(Inherited from ContinuousDistribution.)  
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 nonvanishing.
(Overrides ContinuousDistributionSupport.)  
Variance 
Gets the variance of the distribution.
(Overrides UnivariateDistributionVariance.) 
Name  Description  

CentralMoment 
Computes a central moment of the distribution.
(Overrides ContinuousDistributionCentralMoment(Int32).)  
Cumulant 
Computes a cumulant of the distribution.
(Inherited from UnivariateDistribution.)  
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.
(Inherited from ContinuousDistribution.)  
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.
(Inherited from ContinuousDistribution.)  
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.) 
Like a uniform distribution, a triangular distribution is confined to a finite interval. Unlike a uniform distribution, a triangular distribution is not uniform across the interval.
Triangular distributions are often used in project planning, where a maximum, minimum, and most likely value for some quantity is known or supposed.