public static class ParetoDistribution.CDF extends ParetoDistribution implements SmoothCumulativeDistributionFunction, InvertibleCumulativeDistributionFunction<java.lang.Double>
ParetoDistribution.CDF, ParetoDistribution.PDF
DEFALUT_SCALE, DEFAULT_SHAPE, DEFAULT_SHIFT, scale, shape, shift
Constructor and Description |
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CDF()
Creates a new instance of CDF
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CDF(double shape,
double scale,
double shift)
Creates a new instance of CDF
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CDF(ParetoDistribution other)
Copy constructor
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Modifier and Type | Method and Description |
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java.lang.Double |
differentiate(java.lang.Double input)
Differentiates the output with respect to the input
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double |
evaluate(double input)
Produces a double output for the given double input
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java.lang.Double |
evaluate(java.lang.Double input)
Evaluates the function on the given input and returns the output.
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double |
evaluateAsDouble(java.lang.Double input)
Evaluates the scalar function as a double.
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ParetoDistribution.CDF |
getCDF()
Gets the CDF of a scalar distribution.
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ParetoDistribution.PDF |
getDerivative()
Gets the closed-form derivative of the function.
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java.lang.Double |
inverse(double probability)
Computes the inverse of the CDF for the given probability.
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clone, convertFromVector, convertToVector, getMaxSupport, getMeanAsDouble, getMinSupport, getProbabilityFunction, getScale, getShape, getVariance, sampleAsDouble, sampleInto, setScale, setShape, setShift, toString
getMean, sampleAsDoubles, sampleInto
sample, sample
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
getMean, getProbabilityFunction, sampleAsDouble, sampleAsDoubles, sampleInto
getMaxSupport, getMeanAsDouble, getMinSupport, getVariance
sample, sample, sampleInto
clone, convertFromVector, convertToVector
public CDF()
public CDF(double shape, double scale, double shift)
shape
- Scale parameter, must be greater than zero.scale
- Scale parameter, must be greater than zero.shift
- Amount to shift the distribution to the left.public CDF(ParetoDistribution other)
other
- ParetoDistribution to copypublic java.lang.Double evaluate(java.lang.Double input)
Evaluator
evaluate
in interface Evaluator<java.lang.Double,java.lang.Double>
evaluate
in interface ScalarFunction<java.lang.Double>
evaluate
in interface UnivariateScalarFunction
input
- The input to evaluate.public double evaluateAsDouble(java.lang.Double input)
ScalarFunction
evaluateAsDouble
in interface ScalarFunction<java.lang.Double>
evaluateAsDouble
in interface UnivariateScalarFunction
input
- The input value.public double evaluate(double input)
UnivariateScalarFunction
evaluate
in interface UnivariateScalarFunction
input
- Input to the Evaluatorpublic ParetoDistribution.CDF getCDF()
UnivariateDistribution
getCDF
in interface ClosedFormUnivariateDistribution<java.lang.Double>
getCDF
in interface SmoothUnivariateDistribution
getCDF
in interface UnivariateDistribution<java.lang.Double>
getCDF
in class ParetoDistribution
public ParetoDistribution.PDF getDerivative()
ClosedFormDifferentiableEvaluator
getDerivative
in interface ClosedFormDifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>
getDerivative
in interface SmoothCumulativeDistributionFunction
public java.lang.Double differentiate(java.lang.Double input)
DifferentiableEvaluator
differentiate
in interface DifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>
input
- Input about which to compute the derivativepublic java.lang.Double inverse(double probability)
InvertibleCumulativeDistributionFunction
inverse
in interface InvertibleCumulativeDistributionFunction<java.lang.Double>
probability
- Probability to invert.