public class MultinomialDistribution extends Object implements MultivariateProbabilityDistribution
Constructor and Description |
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MultinomialDistribution(int n,
double... p)
Constructs an instance of a Multinomial distribution.
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Modifier and Type | Method and Description |
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double |
cdf(Vector x)
Gets the cumulative probability F(x) = Pr(X ≤ x).
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Matrix |
covariance()
Gets the covariance matrix of this distribution.
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double |
density(Vector x)
The density function, which, if exists, is the derivative of F.
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double |
entropy()
Gets the entropy of this distribution.
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Vector |
mean()
Gets the mean of this distribution.
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Vector |
mode()
Gets the mode of this distribution.
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double |
moment(Vector t)
The moment generating function is the expected value of etX.
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public MultinomialDistribution(int n, double... p)
n
- the number of trialsp
- the event probabilities; the sum of them equals 1public double density(Vector x)
MultivariateProbabilityDistribution
f(x) = dF(X) / dxThis may not always exist. For the discrete cases, this is the probability mass function. It gives the probability that a discrete random variable is exactly equal to some value.
density
in interface MultivariateProbabilityDistribution
x
- xpublic double cdf(Vector x)
MultivariateProbabilityDistribution
cdf
in interface MultivariateProbabilityDistribution
x
- xpublic Vector mean()
MultivariateProbabilityDistribution
mean
in interface MultivariateProbabilityDistribution
public Vector mode()
MultivariateProbabilityDistribution
mode
in interface MultivariateProbabilityDistribution
public Matrix covariance()
MultivariateProbabilityDistribution
covariance
in interface MultivariateProbabilityDistribution
public double entropy()
MultivariateProbabilityDistribution
entropy
in interface MultivariateProbabilityDistribution
public double moment(Vector t)
MultivariateProbabilityDistribution
E(etX)This may not always exist.
moment
in interface MultivariateProbabilityDistribution
t
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