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ISampleableDistributionTObservations Methods |
The ISampleableDistributionTObservations generic type exposes the following members.
Name | Description | |
---|---|---|
![]() | Clone | Creates a new object that is a copy of the current instance. (Inherited from ICloneable.) |
![]() | ComplementaryDistributionFunction(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.) |
![]() | ComplementaryDistributionFunction(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.) |
![]() | DistributionFunction(Double) |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) |
![]() | DistributionFunction(TObservation) |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistributionTObservation.) |
![]() | Fit(Array) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) |
![]() | Fit(Array, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) |
![]() | Fit(Array, Double) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) |
![]() | Fit(Array, Int32) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) |
![]() | Fit(Array, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) |
![]() | Fit(Array, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.) |
![]() | Generate |
Generates a random observation from the current distribution.
(Inherited from IRandomNumberGeneratorT.) |
![]() | Generate(Int32) |
Generates a random vector of observations from the current distribution.
(Inherited from IRandomNumberGeneratorT.) |
![]() | Generate(Random) |
Generates a random observation from the current distribution.
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![]() | Generate(TObservations) |
Generates a random observation from the current distribution.
|
![]() | Generate(Int32, T) |
Generates a random vector of observations from the current distribution.
(Inherited from IRandomNumberGeneratorT.) |
![]() | Generate(Int32, Random) |
Generates a random vector of observations from the current distribution.
|
![]() | Generate(TObservations, Random) |
Generates a random observation from the current distribution.
|
![]() | Generate(Int32, TObservations, Random) |
Generates a random vector of observations from the current distribution.
|
![]() | LogProbabilityFunction(Double) |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistribution.) |
![]() | LogProbabilityFunction(TObservation) |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistributionTObservation.) |
![]() | ProbabilityFunction(Double) |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) |
![]() | ProbabilityFunction(TObservation) |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistributionTObservation.) |