Package | Description |
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gov.sandia.cognition.statistics |
Provides the inheritance hierarchy for general statistical methods and distributions.
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gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
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gov.sandia.cognition.statistics.method |
Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
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Modifier and Type | Method and Description |
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SmoothCumulativeDistributionFunction |
SmoothUnivariateDistribution.getCDF() |
Modifier and Type | Class and Description |
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static class |
BetaDistribution.CDF
CDF of the Beta-family distribution
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static class |
CauchyDistribution.CDF
CDF of the CauchyDistribution.
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static class |
ChiSquareDistribution.CDF
Cumulative Distribution Function (CDF) of a Chi-Square Distribution
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static class |
ExponentialDistribution.CDF
CDF of the ExponentialDistribution.
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static class |
GammaDistribution.CDF
CDF of the Gamma distribution
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static class |
InverseGammaDistribution.CDF
CDF of the inverseRootFinder-gamma distribution.
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static class |
LaplaceDistribution.CDF
CDF of the Laplace distribution.
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static class |
LogisticDistribution.CDF
CDF of the LogisticDistribution
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static class |
LogNormalDistribution.CDF
CDF of the Log-Normal Distribution
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static class |
ParetoDistribution.CDF
CDF of the Pareto Distribution.
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static class |
ScalarMixtureDensityModel.CDF
CDFof the SMDM
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static class |
StudentTDistribution.CDF
Evaluator that computes the Cumulative Distribution Function (CDF) of
a Student-t distribution with a fixed number of degrees of freedom
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static class |
UniformDistribution.CDF
Cumulative Distribution Function of a uniform
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static class |
UnivariateGaussian.CDF
CDF of the underlying Gaussian.
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static class |
WeibullDistribution.CDF
CDF of the Weibull distribution
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Modifier and Type | Method and Description |
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protected static InputOutputPair<java.lang.Double,java.lang.Double> |
InverseTransformSampling.initializeNewtonsMethod(SmoothCumulativeDistributionFunction cdf,
double p,
double tolerance)
Initializes Newton's method for inverse transform sampling.
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