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IMixtureTDistribution Methods |
The IMixtureTDistribution generic type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Clone | Creates a new object that is a copy of the current instance. (Inherited from ICloneable.) |
| ComplementaryDistributionFunction |
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.) |
| DistributionFunction |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) |
| 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.) |
| LogProbabilityFunction |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistribution.) |
| ProbabilityFunction |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) |
See Also