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JointDistribution Methods

The JointDistribution type exposes the following members.

Methods
  NameDescription
Public methodClone
Creates a new object that is a copy of the current instance.
(Overrides DistributionBaseClone.)
Public methodComplementaryDistributionFunction
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.
(Inherited from MultivariateDiscreteDistribution.)
Public methodDistributionFunction
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
(Inherited from MultivariateDiscreteDistribution.)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodStatic memberCode exampleEstimate
Estimates a new JointDistribution from a given set of observations.
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 methodFit(Int32)
Fits the underlying distribution to a given set of observations.
Public methodFit(Double)
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.)
Public methodFit(Int32, Double)
Fits the underlying distribution to a given set of observations.
Public methodFit(Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.)
Public methodFit(Double, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.)
Public methodFit(Double, Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.)
Public methodFit(Double, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Overrides MultivariateDiscreteDistributionFit(Double, Double, IFittingOptions).)
Public methodFit(Int32, Double, GeneralDiscreteOptions)
Fits the underlying distribution to a given set of observations.
Public methodFit(Double, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Double)
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32)
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32)
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Random)
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Double, Random)
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32, Double)
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32, Int32)
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32, Random)
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32, Random)
Generates a random observation from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32, Double, Random)
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGenerate(Int32, Int32, Random)
Generates a random vector of observations from the current distribution.
(Inherited from MultivariateDiscreteDistribution.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodInnerComplementaryDistributionFunction
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.
(Inherited from MultivariateDiscreteDistribution.)
Protected methodInnerDistributionFunction
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
(Overrides MultivariateDiscreteDistributionInnerDistributionFunction(Int32).)
Protected methodInnerInverseDistributionFunction
Not supported.
(Inherited from MultivariateDiscreteDistribution.)
Protected methodInnerLogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x.
(Overrides MultivariateDiscreteDistributionInnerLogProbabilityMassFunction(Int32).)
Protected methodInnerProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x.
(Overrides MultivariateDiscreteDistributionInnerProbabilityMassFunction(Int32).)
Public methodInverseDistributionFunction
Not supported.
(Inherited from MultivariateDiscreteDistribution.)
Public methodLogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x.
(Inherited from MultivariateDiscreteDistribution.)
Public methodMarginalDistributionFunction(Int32)
Gets the marginal distribution of a given variable.
(Inherited from MultivariateDiscreteDistribution.)
Public methodMarginalDistributionFunction(Int32, Int32)
Gets the marginal distribution of a given variable evaluated at a given value.
(Inherited from MultivariateDiscreteDistribution.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x.
(Inherited from MultivariateDiscreteDistribution.)
Public methodToString
Returns a String that represents this instance.
(Inherited from DistributionBase.)
Public methodToString(IFormatProvider)
Returns a String that represents this instance.
(Inherited from DistributionBase.)
Public methodToString(String)
Returns a String that represents this instance.
(Inherited from DistributionBase.)
Public methodToString(String, IFormatProvider)
Returns a String that represents this instance.
(Overrides DistributionBaseToString(String, IFormatProvider).)
Public methodStatic memberUniform
Constructs a new multidimensional uniform discrete distribution.
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodToT
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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See Also