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IFittableDistributionTObservations, TOptions Interface

Common interface for distributions which can be estimated from data.

Namespace:  Accord.Statistics.Distributions
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
public interface IFittableDistribution<in TObservations, in TOptions> : IFittable<TObservations, TOptions>, 
	IFittable<TObservations>, IFittableDistribution<TObservations>, IDistribution<TObservations>, 
	IDistribution, ICloneable
where TOptions : class, IFittingOptions
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Type Parameters

TObservations
The type of the observations, such as Double.
TOptions
The type of the options specifying object.

The IFittableDistributionTObservations, TOptions type exposes the following members.

Methods
  NameDescription
Public methodClone
Creates a new object that is a copy of the current instance.
(Inherited from ICloneable.)
Public methodComplementaryDistributionFunction(Double)
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 IDistribution.)
Public methodComplementaryDistributionFunction(TObservation)
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 IDistributionTObservation.)
Public methodDistributionFunction(Double)
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
(Inherited from IDistribution.)
Public methodDistributionFunction(TObservation)
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
(Inherited from IDistributionTObservation.)
Public methodFit(Array)
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)
Public methodFit(TObservations)
Fits the underlying distribution to a given set of observations.
(Inherited from IFittableTObservations.)
Public methodFit(Array, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)
Public methodFit(Array, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)
Public methodFit(Array, Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)
Public methodFit(TObservations, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from IFittableTObservations.)
Public methodFit(Array, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)
Public methodFit(Array, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)
Public methodFit(TObservations, Double, TOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from IFittableTObservations, TOptions.)
Public methodLogProbabilityFunction(Double)
Gets the log-probability density function (pdf) for this distribution evaluated at point x.
(Inherited from IDistribution.)
Public methodLogProbabilityFunction(TObservation)
Gets the log-probability density function (pdf) for this distribution evaluated at point x.
(Inherited from IDistributionTObservation.)
Public methodProbabilityFunction(Double)
Gets the probability density function (pdf) for this distribution evaluated at point x.
(Inherited from IDistribution.)
Public methodProbabilityFunction(TObservation)
Gets the probability density function (pdf) for this distribution evaluated at point x.
(Inherited from IDistributionTObservation.)
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