Accord.NET Framework

## MultivariateContinuousDistribution Methods |

The MultivariateContinuousDistribution type exposes the following members.

Methods

Name | Description | |
---|---|---|

Clone |
Creates a new object that is a copy of the current instance.
(Inherited from DistributionBase.) | |

ComplementaryDistributionFunction |
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
| |

DistributionFunction |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
| |

Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |

Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |

Fit(Double) |
Fits the underlying distribution to a given set of observations.
| |

Fit(Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
| |

Fit(Double, Double) |
Fits the underlying distribution to a given set of observations.
| |

Fit(Double, Int32) |
Fits the underlying distribution to a given set of observations.
| |

Fit(Double, Double, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
| |

Fit(Double, Int32, IFittingOptions) |
Fits the underlying distribution to a given set of observations.
| |

Generate |
Generates a random observation from the current distribution.
| |

Generate(Double) |
Generates a random observation from the current distribution.
| |

Generate(Int32) |
Generates a random vector of observations from the current distribution.
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Generate(Int32) |
Generates a random observation from the current distribution.
| |

Generate(Int32, Double) |
Generates a random vector of observations from the current distribution.
| |

Generate(Int32, Int32) |
Generates a random vector of observations from the current distribution.
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GetHashCode | Serves as the default hash function. (Inherited from Object.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

LogProbabilityDensityFunction |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
| |

MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |

ProbabilityDensityFunction |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
| |

ToString |
Returns a String that represents this instance.
(Inherited from DistributionBase.) | |

ToString(IFormatProvider) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) | |

ToString(String) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) | |

ToString(String, IFormatProvider) |
Returns a String that represents this instance.
(Inherited from DistributionBase.) |

Extension Methods

Name | Description | |
---|---|---|

HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual | Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.) | |

ToT | Overloaded.
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.) | |

ToT | Overloaded.
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.) |

See Also