Package | Description |
---|---|
gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
Modifier and Type | Method and Description |
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StudentTDistribution.PDF |
StudentTDistribution.CDF.getDerivative() |
StudentTDistribution.PDF |
StudentTDistribution.getProbabilityFunction() |
StudentTDistribution.PDF |
StudentTDistribution.PDF.getProbabilityFunction() |
static StudentTDistribution.PDF |
StudentTDistribution.MaximumLikelihoodEstimator.learn(java.util.Collection<? extends java.lang.Double> data,
double defaultVariance)
Creates a new instance of UnivariateGaussian from the given data
|
StudentTDistribution.PDF |
StudentTDistribution.WeightedMaximumLikelihoodEstimator.learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data)
Creates a new instance of UnivariateGaussian using a weighted
Maximum Likelihood estimate based on the given data
|
static StudentTDistribution.PDF |
StudentTDistribution.WeightedMaximumLikelihoodEstimator.learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data,
double defaultVariance)
Creates a new instance of UnivariateGaussian using a weighted
Maximum Likelihood estimate based on the given data
|