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GeneralDiscreteDistribution Methods |
The GeneralDiscreteDistribution type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Clone |
Creates a new object that is a copy of the current instance.
(Overrides DistributionBaseClone.) |
| 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.
(Inherited from UnivariateDiscreteDistribution.) |
 | 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.
(Inherited from UnivariateDiscreteDistribution.) |
| CumulativeHazardFunction |
Gets the cumulative hazard function for this
distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.) |
| DistributionFunction(Int32) |
Gets P(X ≤ k), the cumulative distribution function
(cdf) for this distribution evaluated at point k.
(Inherited from UnivariateDiscreteDistribution.) |
| 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.
(Inherited from UnivariateDiscreteDistribution.) |
| 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).
(Inherited from UnivariateDiscreteDistribution.) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| Fit(Double) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Int32) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Double, Double) |
Fits the underlying distribution to a given set of observations.
|
| Fit(Int32, Double) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Double, Double) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Double, Int32) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Double, Double, GeneralDiscreteOptions) |
Fits the underlying distribution to a given set of observations.
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| Fit(Double, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Overrides UnivariateDiscreteDistributionFit(Double, Double, IFittingOptions).) |
| Fit(Double, Double, GeneralDiscreteOptions) |
Fits the underlying distribution to a given set of observations.
|
| Fit(Int32, Double, GeneralDiscreteOptions) |
Fits the underlying distribution to a given set of observations.
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| Fit(Int32, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Overrides UnivariateDiscreteDistributionFit(Int32, Double, IFittingOptions).) |
| Fit(Double, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
| Fit(Int32, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.) |
 | FromMatrix(Double, Boolean) |
Creates general discrete distributions given a matrix of symbol probabilities.
|
| FromMatrix(Double, Boolean) |
Creates general discrete distributions given a matrix of symbol probabilities.
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| Generate |
Generates a random observation from the current distribution.
(Inherited from UnivariateDiscreteDistribution.) |
| Generate(Random) |
Generates a random observation from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate(Random).) |
| Generate(Int32) |
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.) |
| Generate(Int32, Double) |
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.) |
| Generate(Int32, Int32) |
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.) |
| Generate(Int32, Random) |
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.) |
| Generate(Int32, Int32, Random) |
Generates a random vector of observations from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate(Int32, Int32, Random).) |
| Generate(Int32, Double, Random) |
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetRange |
Gets the distribution range within a given percentile.
(Inherited from UnivariateDiscreteDistribution.) |
| 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.
(Inherited from UnivariateDiscreteDistribution.) |
| 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.
(Inherited from UnivariateDiscreteDistribution.) |
| LogCumulativeHazardFunction |
Gets the log-cumulative hazard function for this
distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.) |
| LogProbabilityMassFunction |
Gets the log-probability mass function (pmf) for
this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.) |
| ProbabilityMassFunction |
Gets the probability mass function (pmf) for
this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.) |
| QuantileDensityFunction |
Gets the first derivative of the
inverse distribution function (icdf) for this distribution evaluated
at probability p.
(Inherited from UnivariateDiscreteDistribution.) |
| Random(Double, Boolean) |
Returns a random symbol within the given symbol probabilities.
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| Random(Double, Int32) |
Returns a random sample within the given symbol probabilities.
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| Random(Double, Int32, Random) |
Returns a random sample within the given symbol probabilities.
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| Random(Double, Random, Boolean) |
Returns a random symbol within the given symbol probabilities.
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| Random(Double, Int32, Int32, Boolean) |
Returns a random sample within the given symbol probabilities.
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| Random(Double, Int32, Int32, Random, Boolean) |
Returns a random sample within the given symbol probabilities.
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| 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.
(Overrides DistributionBaseToString(String, IFormatProvider).) |
| Uniform |
Constructs a new uniform discrete distribution.
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Extension Methods| Name | Description | |
|---|---|---|
 | 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.) |
| ToT | 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.) |
See Also