Click or drag to resize
Accord.NET (logo) SymmetricGeometricDistribution Class
Symmetric Geometric Distribution.
Inheritance Hierarchy
SystemObject
  Accord.Statistics.DistributionsDistributionBase
    Accord.Statistics.Distributions.UnivariateUnivariateDiscreteDistribution
      Accord.Statistics.Distributions.UnivariateSymmetricGeometricDistribution

Namespace:  Accord.Statistics.Distributions.Univariate
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.4.0
Syntax
[SerializableAttribute]
public class SymmetricGeometricDistribution : UnivariateDiscreteDistribution
Request Example View Source

The SymmetricGeometricDistribution type exposes the following members.

Constructors
  NameDescription
Public methodSymmetricGeometricDistribution
Creates a new symmetric geometric distribution.
Top
Properties
  NameDescription
Public propertyEntropy
Not supported.
(Overrides UnivariateDiscreteDistributionEntropy.)
Public propertyMean
Gets the mean for this distribution, which in the case of the Symmetric Geometric is zero.
(Overrides UnivariateDiscreteDistributionMean.)
Public propertyMedian
Gets the median for this distribution.
(Inherited from UnivariateDiscreteDistribution.)
Public propertyMode
Gets the mode for this distribution.
(Inherited from UnivariateDiscreteDistribution.)
Public propertyProbabilityOfSuccess
Gets the success probability for the distribution.
Public propertyQuartiles
Gets the Quartiles for this distribution.
(Inherited from UnivariateDiscreteDistribution.)
Public propertyStandardDeviation
Gets the Standard Deviation (the square root of the variance) for the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Public propertySupport
Gets the support interval for this distribution, which in the case of the Symmetric Geometric is [-inf, +inf].
(Overrides UnivariateDiscreteDistributionSupport.)
Public propertyVariance
Gets the variance for this distribution.
(Overrides UnivariateDiscreteDistributionVariance.)
Top
Methods
  NameDescription
Protected methodBaseInverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p using a numerical approximation based on binary search.
(Inherited from UnivariateDiscreteDistribution.)
Public methodClone
Creates a new object that is a copy of the current instance.
(Overrides DistributionBaseClone.)
Public methodComplementaryDistributionFunction(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.)
Public methodCode exampleComplementaryDistributionFunction(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.)
Public methodCumulativeHazardFunction
Gets the cumulative hazard function for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
Public methodDistributionFunction(Int32)
Not supported.
(Overrides UnivariateDiscreteDistributionDistributionFunction(Int32).)
Public methodCode exampleDistributionFunction(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.)
Public methodDistributionFunction(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.)
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 methodFit(Double)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Double, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Double, Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Double, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Double, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Int32, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodFit(Int32, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Public methodGenerate
Generates a random observation from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate.)
Public methodGenerate(Int32)
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Public methodGenerate(Int32, Double)
Generates a random vector of observations from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate(Int32, Double).)
Public methodGenerate(Int32, Int32)
Generates a random vector of observations from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate(Int32, Int32).)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetRange
Gets the distribution range within a given percentile.
(Inherited from UnivariateDiscreteDistribution.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodHazardFunction
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.)
Public methodInverseDistributionFunction
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.)
Public methodLogCumulativeHazardFunction
Gets the log-cumulative hazard function for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
Public methodLogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x.
(Overrides UnivariateDiscreteDistributionLogProbabilityMassFunction(Int32).)
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.
(Overrides UnivariateDiscreteDistributionProbabilityMassFunction(Int32).)
Public methodQuantileDensityFunction
Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability p.
(Inherited from UnivariateDiscreteDistribution.)
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).)
Top
Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
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.)
Public Extension MethodToTOverloaded.
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 Matrix.)
Top
Remarks

The Symmetric Geometric Distribution can be seen as a discrete case of the LaplaceDistribution.

See Also