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 |
|---|---|
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)
MultivariateProbabilityDistributionf(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 MultivariateProbabilityDistributionx - xpublic double cdf(Vector x)
MultivariateProbabilityDistributioncdf in interface MultivariateProbabilityDistributionx - xpublic Vector mean()
MultivariateProbabilityDistributionmean in interface MultivariateProbabilityDistributionpublic Vector mode()
MultivariateProbabilityDistributionmode in interface MultivariateProbabilityDistributionpublic Matrix covariance()
MultivariateProbabilityDistributioncovariance in interface MultivariateProbabilityDistributionpublic double entropy()
MultivariateProbabilityDistributionentropy in interface MultivariateProbabilityDistributionpublic double moment(Vector t)
MultivariateProbabilityDistributionE(etX)This may not always exist.
moment in interface MultivariateProbabilityDistributiont - tCopyright © 2010-2020 NM FinTech Ltd.. All Rights Reserved.