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SkewedGeneralizedError Methods

The SkewedGeneralizedError type exposes the following members.

Methods
 NameDescription
Public methodStatic memberCDF Computes the cumulative distribution of the distribution at x.
Public methodCumulativeDistribution Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).
Public methodDensity Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x.
Public methodDensityLn Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x).
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Public methodStatic memberInvCDF Computes the inverse cumulative distribution for the specified probability.
Public methodInverseCumulativeDistribution Computes the inverse cumulative distribution function for the current distribution.
Public methodStatic memberIsValidParameterSet Tests whether the provided values are valid parameters for this distribution.
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodStatic memberPDF Computes the probability density of the distribution at x.
Public methodStatic memberPDFLn Computes the logarithm of the probability density of the distribution at x.
Public methodSample Draws a random sample from the distribution.
Public methodStatic memberSample(Double, Double, Double, Double) Generates a sample from the Skew Generalized Error distribution.
Public methodStatic memberSample(Random, Double, Double, Double, Double) Generates a sample from the Skew Generalized Error distribution.
Public methodSamples Draws a sequence of random samples from the distribution.
Public methodSamples(Double) Fills an array with samples generated from the distribution.
Public methodStatic memberSamples(Double, Double, Double, Double) Generates a sequence of samples from the Skew Generalized Error distribution using inverse transform.
Public methodStatic memberSamples(Double, Double, Double, Double, Double) Fills an array with samples from the Skew Generalized Error distribution using inverse transform.
Public methodStatic memberSamples(Random, Double, Double, Double, Double) Generates a sequence of samples from the Skew Generalized Error distribution using inverse transform.
Public methodStatic memberSamples(Random, Double, Double, Double, Double, Double) Fills an array with samples from the Skew Generalized Error distribution using inverse transform.
Public methodToString A string representation of the distribution.
(Overrides ObjectToString)
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See Also