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java.lang.Objectgov.sandia.cognition.util.AbstractCloneableSerializable
gov.sandia.cognition.statistics.AbstractDistribution<NumberType>
gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution<Double>
gov.sandia.cognition.statistics.AbstractClosedFormSmoothUnivariateDistribution
gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
gov.sandia.cognition.statistics.distribution.InverseGammaDistribution.PDF
public static class InverseGammaDistribution.PDF
PDF of the inverseRootFinder-Gamma distribution.
Nested Class Summary |
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Nested classes/interfaces inherited from class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution |
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InverseGammaDistribution.CDF, InverseGammaDistribution.PDF |
Field Summary |
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Fields inherited from class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution |
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DEFAULT_SCALE, DEFAULT_SHAPE, scale, shape |
Constructor Summary | |
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InverseGammaDistribution.PDF()
Default constructor |
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InverseGammaDistribution.PDF(double shape,
double scale)
Creates a new instance of InverseGammaDistribution |
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InverseGammaDistribution.PDF(InverseGammaDistribution other)
Copy constructor |
Method Summary | |
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double |
evaluate(double input)
Produces a double output for the given double input |
Double |
evaluate(Double input)
Evaluates the function on the given input and returns the output. |
double |
evaluateAsDouble(Double input)
Evaluates the scalar function as a double. |
InverseGammaDistribution.PDF |
getProbabilityFunction()
Gets the distribution function associated with this Distribution, either the PDF or PMF. |
double |
logEvaluate(double input)
Evaluate the natural logarithm of the distribution function. |
double |
logEvaluate(Double input)
Evaluate the natural logarithm of the distribution function. |
Methods inherited from class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution |
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clone, convertFromVector, convertToVector, getCDF, getMaxSupport, getMean, getMinSupport, getScale, getShape, getVariance, sample, setScale, setShape, toString |
Methods inherited from class gov.sandia.cognition.statistics.AbstractDistribution |
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sample |
Methods inherited from class java.lang.Object |
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equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Methods inherited from interface gov.sandia.cognition.statistics.SmoothUnivariateDistribution |
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getCDF, getMean |
Methods inherited from interface gov.sandia.cognition.statistics.UnivariateDistribution |
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getMaxSupport, getMinSupport, getVariance |
Methods inherited from interface gov.sandia.cognition.statistics.Distribution |
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sample, sample |
Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable |
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clone, convertFromVector, convertToVector |
Constructor Detail |
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public InverseGammaDistribution.PDF()
public InverseGammaDistribution.PDF(double shape, double scale)
shape
- Shape parameter, must be greater than zero.scale
- Scale parameter, must be greater than zero.public InverseGammaDistribution.PDF(InverseGammaDistribution other)
other
- InverseGammaDistribution to copyMethod Detail |
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public InverseGammaDistribution.PDF getProbabilityFunction()
ComputableDistribution
getProbabilityFunction
in interface ComputableDistribution<Double>
getProbabilityFunction
in interface ProbabilityDensityFunction<Double>
getProbabilityFunction
in interface SmoothUnivariateDistribution
getProbabilityFunction
in interface UnivariateProbabilityDensityFunction
getProbabilityFunction
in class InverseGammaDistribution
public double logEvaluate(Double input)
ProbabilityFunction
logEvaluate
in interface ProbabilityFunction<Double>
public double logEvaluate(double input)
UnivariateProbabilityDensityFunction
logEvaluate
in interface UnivariateProbabilityDensityFunction
input
- The input value.
public Double evaluate(Double input)
Evaluator
evaluate
in interface Evaluator<Double,Double>
input
- The input to evaluate.
public double evaluateAsDouble(Double input)
ScalarFunction
evaluateAsDouble
in interface ScalarFunction<Double>
input
- The input value.
public double evaluate(double input)
UnivariateScalarFunction
evaluate
in interface UnivariateScalarFunction
input
- Input to the Evaluator
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