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  • Extreme.Statistics.Distributions
    • ArcsineDistribution Class
    • BernoulliDistribution Class
    • BetaDistribution Class
    • BinomialDistribution Class
    • CauchyDistribution Class
    • ChiSquareDistribution Class
    • ContinuousDistribution Class
    • ContinuousUniformDistribution Class
    • DirichletDistribution Class
    • DiscreteDistribution Class
    • DiscreteDistribution(T) Class
    • DiscreteUniformDistribution Class
    • Distribution Class
    • ErlangDistribution Class
    • EstimationMethod Enumeration
    • ExponentialDistribution Class
    • FDistribution Class
    • GammaDistribution Class
    • GaussianMixtureDistribution Class
    • GeneralizedParetoDistribution Class
    • GenericDiscreteDistribution Class
    • GeometricDistribution Class
    • GumbelDistribution Class
    • HyperbolicDistribution Class
    • HypergeometricDistribution Class
    • InverseChiSquareDistribution Class
    • InverseGammaDistribution Class
    • InverseGaussianDistribution Class
    • InverseWeibullDistribution Class
    • JohnsonDistribution Class
    • JohnsonDistributionType Enumeration
    • LaplaceDistribution Class
    • LogarithmicSeriesDistribution Class
    • LogisticDistribution Class
    • LogLogisticDistribution Class
    • LognormalDistribution Class
    • MaxwellDistribution Class
    • MultivariateContinuousDistribution Class
    • MultivariateNormalDistribution Class
    • NegativeBinomialDistribution Class
    • NonCentralBetaDistribution Class
    • NonCentralChiSquareDistribution Class
    • NonCentralFDistribution Class
    • NonCentralStudentTDistribution Class
    • NormalDistribution Class
    • NormalInverseGaussianDistribution Class
    • ParetoDistribution Class
    • ParetoDistributionVariant Enumeration
    • PertDistribution Class
    • PiecewiseDistribution Class
    • PoissonDistribution Class
    • RandomExtensions Class
    • RayleighDistribution Class
    • StudentTDistribution Class
    • TransformedBetaDistribution Class
    • TransformedGammaDistribution Class
    • TriangularDistribution Class
    • TruncatedDistribution Class
    • WeibullDistribution Class
    • WishartDistribution Class
  • ContinuousDistribution Class
    • ContinuousDistribution Constructor
    • Properties
    • Methods
  • Methods
    • Cdf Method
    • DistributionFunction Method
    • GetAllModes Method
    • GetExpectationValue Method Overloads
    • GetExpectedHistogram Method Overloads
    • GetRandomSequence Method Overloads
    • HazardFunction Method
    • InverseCdf Method
    • InverseDistributionFunction Method
    • LeftTailProbability Method
    • LogProbabilityDensityFunction Method
    • MomentFunction Method
    • Pdf Method
    • Probability Method
    • ProbabilityDensityFunction Method
    • RightTailProbability Method
    • Sample Method Overloads
    • SampleInto Method Overloads
    • SurvivorDistributionFunction Method
    • TwoTailedProbability Method

ContinuousDistribution Methods

Extreme Optimization Numerical Libraries for .NET Professional

The ContinuousDistribution type exposes the following members.

Methods

  NameDescription
Public methodCdf
Evaluates the cumulative distribution function (CDF) of this distribution for the specified value.
Public methodDistributionFunction
Evaluates the cumulative distribution function (CDF) of this distribution for the specified value.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetAllModes
Returns an array that contains all the modes of the distribution.
Public methodGetExpectationValue(FuncDouble, Double)
Returns the expectation value of a function.
Public methodGetExpectationValue(FuncDouble, Double, Double, Double)
Returns the un-normalized expectation value of a function over the specified interval.
Public methodGetExpectedHistogram(Double, Double)
Gets a vector containing a histogram of the expected number of samples for a given total number of samples.
Public methodGetExpectedHistogram(IntervalIndexDouble, Double)
Gets a vector containing a histogram of the expected number of samples for a given total number of samples.
Public methodGetExpectedHistogram(Double, Double, Int32, Double)
Gets a vector whose bins contain the expected number of samples for a given total number of samples.
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetRandomSequence
Returns a sequence of random samples from the distribution.
Public methodGetRandomSequence(Random)
Returns a sequence of random samples from the distribution.
Public methodGetRandomSequence(Random, Int32)
Returns a sequence of random samples of the specified length from the distribution.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodHazardFunction
Returns the probability of failure at the specified value.
Public methodInverseCdf
Returns the inverse of the DistributionFunction(Double).
Public methodInverseDistributionFunction
Returns the inverse of the DistributionFunction(Double).
Public methodLeftTailProbability
Returns the probability that a sample from the distribution is less than the specified value.
Public methodLogProbabilityDensityFunction
Returns the logarithm of the probability density function (PDF) of this distribution for the specified value.
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodMomentFunction
Returns the value of the moment function of the specified order.
Public methodPdf
Returns the value of the probability density function (PDF) of this distribution for the specified value.
Public methodProbability
Returns the probability that a sample taken from the distribution lies inside the specified interval.
Public methodProbabilityDensityFunction
Returns the value of the probability density function (PDF) of this distribution for the specified value.
Public methodRightTailProbability
Returns the probability that a sample from the distribution is larger than the specified value.
Public methodSample
Returns a random sample from the distribution.
Public methodSample(Int32)
Returns a vector of random samples from the distribution.
Public methodSample(Random)
Returns a random sample from the distribution.
Public methodSample(Int32, Random)
Returns a vector of random samples from the distribution.
Public methodSampleInto(Random, IListDouble)
Fills a list with random numbers from the distribution.
Public methodSampleInto(Random, IListDouble, Int32, Int32)
Fills part of a list with random numbers from the distribution.
Public methodSurvivorDistributionFunction
Evaluates the survivor distribution function (SDF) of this distribution for the specified value.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTwoTailedProbability
Returns the probability that a sample from the distribution deviates from the mean more than the specified value.
Top
See Also

Reference

ContinuousDistribution Class
Extreme.Statistics.Distributions Namespace

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