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  • Extreme.Statistics.Distributions
    • BernoulliDistribution Class
    • BetaDistribution Class
    • BinomialDistribution Class
    • CauchyDistribution Class
    • ChiSquareDistribution Class
    • ContinuousDistribution Class
    • ContinuousUniformDistribution Class
    • DirichletDistribution Class
    • DiscreteDistribution Class
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    • GeometricDistribution Class
    • GumbelDistribution Class
    • HyperbolicDistribution Class
    • HypergeometricDistribution Class
    • InverseChiSquareDistribution Class
    • InverseGammaDistribution Class
    • InverseGaussianDistribution Class
    • InverseWeibullDistribution Class
    • 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
    • PiecewiseDistribution Class
    • PoissonDistribution Class
    • RandomExtensions Class
    • RayleighDistribution Class
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    • TransformedBetaDistribution Class
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    • TriangularDistribution Class
    • TruncatedDistribution Class
    • WeibullDistribution Class
    • WishartDistribution Class
  • BernoulliDistribution Class
    • BernoulliDistribution Constructor
    • Properties
    • Methods
  • Methods
    • DistributionFunction Method
    • GetRandomVariate Method Overloads
    • InverseDistributionFunction Method
    • Probability Method Overloads
    • Sample Method Overloads
    • ToString Method Overloads
BernoulliDistribution MethodsExtreme Optimization Numerical Libraries for .NET Professional

The BernoulliDistribution type exposes the following members.

Methods

  NameDescription
Public methodDistributionFunction
Evaluates the cumulative distribution function of the distribution.
(Overrides DiscreteDistributionDistributionFunction(Int32).)
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 methodGetExpectedHistogram(IndexIntervalInt32, Double)
Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples.
(Inherited from DiscreteDistribution.)
Public methodGetExpectedHistogram(IndexInt32, Double)
Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples.
(Inherited from DiscreteDistribution.)
Public methodGetExpectedHistogram(Int32, Int32, Double)
Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples.
(Inherited from DiscreteDistribution.)
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetRandomSequence
Returns a sequence of random samples from the distribution.
(Inherited from DiscreteDistribution.)
Public methodGetRandomSequence(Random)
Returns a sequence of random samples from the distribution.
(Inherited from DiscreteDistribution.)
Public methodGetRandomSequence(Random, Int32)
Returns a sequence of random samples of the specified length from the distribution.
(Inherited from DiscreteDistribution.)
Public methodGetRandomVariate(Random)
Returns a random sample from the distribution.
(Inherited from DiscreteDistribution.)
Public methodStatic memberGetRandomVariate(Random, Double) Obsolete.
Returns a single random sample from a Bernoulli distribution with the specified success rate.
Public methodGetRandomVariates(Random, Int32)
Fills an Int32 array with random numbers.
(Inherited from DiscreteDistribution.)
Public methodGetRandomVariates(Random, Int32, Int32, Int32)
Fills an Int32 array with random numbers from this DiscreteDistribution.
(Inherited from DiscreteDistribution.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodInverseDistributionFunction
Returns the inverse of the distribution function.
(Overrides DiscreteDistributionInverseDistributionFunction(Double).)
Public methodLeftTailProbability
Gets the probability of obtaining a sample that is less than or less than or equal to the specified upper bound.
(Inherited from DiscreteDistribution.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodProbability(Int32)
Evaluates the probability function of the distribution.
(Overrides DiscreteDistributionProbability(Int32).)
Public methodProbability(Int32, Int32)
Gets the probability of obtaining a sample that falls within the specified interval from the distribution.
(Inherited from DiscreteDistribution.)
Public methodRightTailProbability
Gets the probability of obtaining a sample that is less than or less than or equal to the specified upper bound.
(Inherited from DiscreteDistribution.)
Public methodSample
Returns a random sample from the distribution.
(Inherited from DiscreteDistribution.)
Public methodSample(Random)
Returns a random sample from the distribution.
(Overrides DiscreteDistributionSample(Random).)
Public methodSample(Int32)
Returns a vector of random samples from the distribution.
(Inherited from DiscreteDistribution.)
Public methodStatic memberSample(Random, Double)
Returns a single random sample from a Bernoulli distribution with the specified success rate.
Public methodSample(Int32, Random)
Returns a vector of random samples from the distribution.
(Inherited from DiscreteDistribution.)
Public methodSample(Random, Int32)
Fills an Int32 array with random numbers.
(Inherited from DiscreteDistribution.)
Public methodSample(Random, Int32, Int32, Int32)
Fills an Int32 array with random numbers from this DiscreteDistribution.
(Inherited from DiscreteDistribution.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Overrides ObjectToString.)
Public methodTwoTailProbability
Gets the probability of obtaining a sample that is less than or less than or equal to the specified upper bound.
(Inherited from DiscreteDistribution.)
Top
See Also

Reference

BernoulliDistribution Class
Extreme.Statistics.Distributions Namespace

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