Méthode | Description | |
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Clone ( ) : object |
Creates a new object that is a copy of the current instance.
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DistributionFunction ( ) : double |
Not supported.
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Fit ( double observations, double weights, Fitting options ) : void |
Not supported.
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InverseWishartDistribution ( double degreesOfFreedom, double inverseScale ) : System |
Creates a new Inverse Wishart distribution.
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LogProbabilityDensityFunction ( ) : double |
Gets the probability density function (pdf) for this distribution evaluated at point The Probability Density Function (PDF) describes the probability that a given value |
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LogProbabilityDensityFunction ( double x ) : double |
Gets the probability density function (pdf) for this distribution evaluated at point The Probability Density Function (PDF) describes the probability that a given value |
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ProbabilityDensityFunction ( ) : double |
Gets the probability density function (pdf) for this distribution evaluated at point The Probability Density Function (PDF) describes the probability that a given value |
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ProbabilityDensityFunction ( double x ) : double |
Gets the probability density function (pdf) for this distribution evaluated at point The Probability Density Function (PDF) describes the probability that a given value |
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ToString ( string format, IFormatProvider formatProvider ) : string |
Returns a System.String that represents this instance.
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public Fit ( double observations, double weights, Fitting options ) : void | ||
observations | double | |
weights | double | |
options | Fitting | |
Résultat | void |
public InverseWishartDistribution ( double degreesOfFreedom, double inverseScale ) : System | ||
degreesOfFreedom | double | The degrees of freedom v. |
inverseScale | double | The inverse scale matrix Ψ (psi). |
Résultat | System |
public LogProbabilityDensityFunction ( ) : double | ||
Résultat | double |
public LogProbabilityDensityFunction ( double x ) : double | ||
x | double | A single point in the distribution range. /// For a matrix distribution, such as the Wishart's, this /// should be a positive-definite matrix or a matrix written /// in flat vector form. /// |
Résultat | double |
public ProbabilityDensityFunction ( ) : double | ||
Résultat | double |
public ProbabilityDensityFunction ( double x ) : double | ||
x | double | A single point in the distribution range. /// For a matrix distribution, such as the Wishart's, this /// should be a positive-definite matrix or a matrix written /// in flat vector form. /// |
Résultat | double |
public ToString ( string format, IFormatProvider formatProvider ) : string | ||
format | string | The format. |
formatProvider | IFormatProvider | The format provider. |
Résultat | string |