﻿ UnivariateDiscreteDistribution Methods # UnivariateDiscreteDistribution Methods

The UnivariateDiscreteDistribution type exposes the following members. Methods
NameDescription BaseDistributionFunction
Computes the cumulative distribution function by summing the outputs of the ProbabilityMassFunction(Int32) for all elements in the distribution domain. Note that this method should not be used in case there is a more efficient formula for computing the CDF of a distribution. BaseInverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p using a numerical approximation based on binary search. Clone
Creates a new object that is a copy of the current instance.
(Inherited from DistributionBase.) ComplementaryDistributionFunction(Int32)
Gets P(X > k) the complementary cumulative distribution function (ccdf) for this distribution evaluated at point k. This function is also known as the Survival function.  ComplementaryDistributionFunction(Int32, Boolean)
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point k. This function is also known as the Survival function. CumulativeHazardFunction
Gets the cumulative hazard function for this distribution evaluated at point x. DistributionFunction(Int32)
Gets P(X ≤ k), the cumulative distribution function (cdf) for this distribution evaluated at point k.  DistributionFunction(Int32, Boolean)
Gets P(X ≤ k) or P(X < k), the cumulative distribution function (cdf) for this distribution evaluated at point k, depending on the value of the inclusive parameter. DistributionFunction(Int32, Int32)
Gets the cumulative distribution function (cdf) for this distribution in the semi-closed interval (a; b] given as P(a < X ≤ b). Equals
Determines whether the specified object is equal to the current object.
(Inherited from Object.) Finalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.) Fit(Double)
Fits the underlying distribution to a given set of observations. Fit(Int32)
Fits the underlying distribution to a given set of observations. Fit(Double, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Double, Double)
Fits the underlying distribution to a given set of observations. Fit(Double, Int32)
Fits the underlying distribution to a given set of observations. Fit(Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Double, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Double, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Int32, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Int32, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations. Generate
Generates a random observation from the current distribution. Generate(Int32)
Generates a random vector of observations from the current distribution. Generate(Random)
Generates a random observation from the current distribution. Generate(Int32, Double)
Generates a random vector of observations from the current distribution. Generate(Int32, Int32)
Generates a random vector of observations from the current distribution. Generate(Int32, Random)
Generates a random vector of observations from the current distribution. Generate(Int32, Double, Random)
Generates a random vector of observations from the current distribution. Generate(Int32, Int32, Random)
Generates a random vector of observations from the current distribution. GetHashCode
Serves as the default hash function.
(Inherited from Object.) GetRange
Gets the distribution range within a given percentile. GetType
Gets the Type of the current instance.
(Inherited from Object.) HazardFunction
Gets the hazard function, also known as the failure rate or the conditional failure density function for this distribution evaluated at point x. InnerComplementaryDistributionFunction
Gets P(X > k) the complementary cumulative distribution function (ccdf) for this distribution evaluated at point k. This function is also known as the Survival function. InnerDistributionFunction
Gets P(X ≤ k), the cumulative distribution function (cdf) for this distribution evaluated at point k. InnerInverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function. InnerLogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x. InnerProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x. InverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function. LogCumulativeHazardFunction
Gets the log-cumulative hazard function for this distribution evaluated at point x. LogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x. MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.) ProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x. QuantileDensityFunction
Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability p. ToString
Returns a String that represents this instance.
(Inherited from DistributionBase.) ToString(IFormatProvider)
Returns a String that represents this instance.
(Inherited from DistributionBase.) ToString(String)
Returns a String that represents this instance.
(Inherited from DistributionBase.) ToString(String, IFormatProvider)
Returns a String that represents this instance.
(Inherited from DistributionBase.)
Top Extension Methods
NameDescription HasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) IsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.) To(Type)Overloaded.
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.) ToTOverloaded.
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.)
Top See Also