Represents a multivariate continuous probability distribution.
SystemObject Extreme.Statistics.DistributionsMultivariateContinuousDistribution Extreme.Statistics.DistributionsDirichletDistribution Extreme.Statistics.DistributionsGaussianMixtureDistribution Extreme.Statistics.DistributionsMultivariateNormalDistribution
Namespace:
Extreme.Statistics.Distributions
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
[SerializableAttribute]
public abstract class MultivariateContinuousDistribution
<SerializableAttribute>
Public MustInherit Class MultivariateContinuousDistribution
[SerializableAttribute]
public ref class MultivariateContinuousDistribution abstract
[<AbstractClassAttribute>]
[<SerializableAttribute>]
type MultivariateContinuousDistribution = class end
The MultivariateContinuousDistribution type exposes the following members.
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Gets the number of dimensions of the distribution.
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The distribution of a variable is a description of
the relative numbers of times each possible outcome will
occur in a number of trials. The function describing the
distribution is called the probability function, and the
function describing the cumulative probability that a
given value or any value smaller than it will occur is
called the distribution function.
A continuous probability distribution is a statistical
distribution whose variables can take on any value within
a certain interval. This interval may be infinite.
This library contains classes for the most common
multivariate continuous distributions. They are listed in the table
below:
MultivariateContinuousDistribution is an abstract base
class that cannot be instantiated. To create a continuous
distribution of a specific type, instantiate a class derived
from MultivariateContinuousDistribution.
Notes to inheritors: When you inherit from
MultivariateContinuousDistribution, you must override the
following members:
LogProbabilityDensityFunction(VectorDouble), FillSampleCore(Random, VectorDouble),
GetMeans, and GetVarianceCovarianceMatrix.
Reference